Senior Director, Applied Research Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate : You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research At least 5 years of people leadership experience Preferred Qualifications choose applicable set based on focus of role : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Member of technical leadership for model deployment for a very large user behavior model Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large language models 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Numerous Publications studying tokenization, data quality, dataset curation, or labeling Leading contributions to one or more large open source corpus (1 Trillion + tokens) Core contributor to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director . click apply for full job details
05/02/2026
Full time
Senior Director, Applied Research Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate : You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research At least 5 years of people leadership experience Preferred Qualifications choose applicable set based on focus of role : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Member of technical leadership for model deployment for a very large user behavior model Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large language models 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Numerous Publications studying tokenization, data quality, dataset curation, or labeling Leading contributions to one or more large open source corpus (1 Trillion + tokens) Core contributor to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director . click apply for full job details
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/02/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/02/2026
Full time
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model AI Safety PhD focused on topics related to adversarial machine learning, red teaming and model alignment. Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace . click apply for full job details
05/02/2026
Full time
Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model AI Safety PhD focused on topics related to adversarial machine learning, red teaming and model alignment. Deep expertise in limit seeking security research, including deconstructing LLM architectures to identify novel attack surfaces like prompt injection, model inversion, and RAG poisoning. Proven track record of developing scalable evaluation suites and automated red teaming frameworks to move emerging academic threats into practical, real world defensive applications. Foundational research in high-stakes AI deployment, bridging the gap between AI Explainability, reliability, and the rigorous fine tuning required for real world use cases. Active contributor to the AI Safety discourse, with the ability to document technical vulnerabilities and their direct impact on model privacy, alignment, and organizational risk. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace . click apply for full job details
One of our clients, medical imaging services company is looking for an talented Staff Scientist with ultrasound experience The Location is San Jose, CA. This is on-site role. Permanent position with great benefits. Base 170 - 190K DOE Staff Scientist (Imaging) to help advance ultrasound imaging performance and image quality across our premium medical imaging systems. In this role, you will focus on optimizing imaging control parameters and transducer performance to support high-quality clinical imaging. You will collaborate with experienced imaging scientists, engineers, and clinical sonographers to refine imaging performance and explore new approaches that push the boundaries of ultrasound technology. ROLE: Optimize Imaging Parameters and Transducer Performance Lead probe-specific optimization of imaging parameters to improve ultrasound image quality across multiple imaging modes (e.g., B-mode, color Doppler). Apply expertise in acoustics or related fields such as optics, radar, or signal processing to optimize ultrasound transducer performance for clinical imaging applications. Configure and refine imaging parameters through SQL databases using insights derived from theoretical modeling, MATLAB simulations, and experimental testing. Conduct measurements using imaging phantoms and human subjects in controlled research and clinical environments. Collaborate with Clinical and Engineering Teams Partner with imaging scientists, engineers, and in-house clinical sonographers to guide system optimization and ensure performance aligns with real-world clinical needs. Support refinement of existing transducers based on clinical and market feedback. Contribute to the development of new transducer designs and imaging capabilities. Identify unexpected imaging behaviors or system issues and collaborate with technical experts to determine effective solutions. Advance Ultrasound Imaging Technology Explore new approaches to advance medical ultrasound imaging through independent research and experimentation. Develop signal processing algorithms, simulation tools, and software routines. Work with technologies such as MATLAB, C, DSP, GPU computing, and related signal-processing tools. Produce technical documentation supporting imaging research and development. REQUIREMENTS: PhD in signal processing-based engineering, applied physics, electrical engineering, or a related discipline (MS with exceptional relevant experience may also be considered) Strong experimental and analytical skills Experience with MATLAB or similar signal processing toolboxes Ability to work independently while managing multiple priorities Comfortable collaborating within small technical teams Strong written, verbal, and organizational communication skills Use this link to apply directly: Or email: Check ALL our Jobs:
05/02/2026
Full time
One of our clients, medical imaging services company is looking for an talented Staff Scientist with ultrasound experience The Location is San Jose, CA. This is on-site role. Permanent position with great benefits. Base 170 - 190K DOE Staff Scientist (Imaging) to help advance ultrasound imaging performance and image quality across our premium medical imaging systems. In this role, you will focus on optimizing imaging control parameters and transducer performance to support high-quality clinical imaging. You will collaborate with experienced imaging scientists, engineers, and clinical sonographers to refine imaging performance and explore new approaches that push the boundaries of ultrasound technology. ROLE: Optimize Imaging Parameters and Transducer Performance Lead probe-specific optimization of imaging parameters to improve ultrasound image quality across multiple imaging modes (e.g., B-mode, color Doppler). Apply expertise in acoustics or related fields such as optics, radar, or signal processing to optimize ultrasound transducer performance for clinical imaging applications. Configure and refine imaging parameters through SQL databases using insights derived from theoretical modeling, MATLAB simulations, and experimental testing. Conduct measurements using imaging phantoms and human subjects in controlled research and clinical environments. Collaborate with Clinical and Engineering Teams Partner with imaging scientists, engineers, and in-house clinical sonographers to guide system optimization and ensure performance aligns with real-world clinical needs. Support refinement of existing transducers based on clinical and market feedback. Contribute to the development of new transducer designs and imaging capabilities. Identify unexpected imaging behaviors or system issues and collaborate with technical experts to determine effective solutions. Advance Ultrasound Imaging Technology Explore new approaches to advance medical ultrasound imaging through independent research and experimentation. Develop signal processing algorithms, simulation tools, and software routines. Work with technologies such as MATLAB, C, DSP, GPU computing, and related signal-processing tools. Produce technical documentation supporting imaging research and development. REQUIREMENTS: PhD in signal processing-based engineering, applied physics, electrical engineering, or a related discipline (MS with exceptional relevant experience may also be considered) Strong experimental and analytical skills Experience with MATLAB or similar signal processing toolboxes Ability to work independently while managing multiple priorities Comfortable collaborating within small technical teams Strong written, verbal, and organizational communication skills Use this link to apply directly: Or email: Check ALL our Jobs:
Senior Director, Applied Research Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate : You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research At least 5 years of people leadership experience Preferred Qualifications choose applicable set based on focus of role : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Member of technical leadership for model deployment for a very large user behavior model Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large language models 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Numerous Publications studying tokenization, data quality, dataset curation, or labeling Leading contributions to one or more large open source corpus (1 Trillion + tokens) Core contributor to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director . click apply for full job details
05/02/2026
Full time
Senior Director, Applied Research Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate : You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research At least 5 years of people leadership experience Preferred Qualifications choose applicable set based on focus of role : PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Member of technical leadership for model deployment for a very large user behavior model Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems Experience with production real-time and streaming environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large language models 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Numerous Publications studying tokenization, data quality, dataset curation, or labeling Leading contributions to one or more large open source corpus (1 Trillion + tokens) Core contributor to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director . click apply for full job details
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
05/02/2026
Full time
Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
At Disney, we're storytellers. We make the impossible possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Are you curious, creative, and love data? Do you love learning new things and collaborating with colleagues to solve hard, interesting problems? Imagine yourself as a Decision Scientist on the Human Resources (HR) Insights & Decision Science team in Disney Experiences (DX), where your natural curiosity to uncover analytical insights and trends will help ensure we make data-driven decisions within HR and across DX. In this role, you will be able to blaze new paths in this data-rich environment through statistical modeling, deep data analysis, and ongoing application of scientific methods to accelerate the company's understanding of its employees. You will implement and contribute to the design of machine learning and statistical methods analyses that will turn data into information to maximize the Company's investment in its employees. The right person for this role is self-directed and has exceptional analytical abilities, intellectual curiosity, and technical skills, a natural ability for storytelling using data, and is passionate about using statistical methods and visualizations to provide decision support for workforce-related issues. This position reports to the Manager, Human Resources Decision Science. This is a full-time role. What You Will Do Design, build, and implement accurate, sustainable, scalable, statistical models and advanced machine learning processes that support HR decisions, business processes, tools, or products. Apply state-of-the-art machine learning, statistics, or data mining techniques to address key workforce-related questions and measure the causal impact of HR initiatives. Develop scalable, reproducible, and efficient methods for data analysis and model development. Build and work with large and complex data sets from multiple systems and outside data sources. Consult with clients and analysts across the business, translating business objectives and analytical needs into repeatable analytical solutions. Share technical knowledge and guide analysts throughout the HR Insights and Decision Science team Present and explain results to technical and non-technical audiences through insightful visualizations that help tell a compelling story. Qualifications & Skills Experience in using statistical, econometric, machine learning, or data mining techniques to inform model development and business decisions in a professional or academic setting. Experience analyzing structured and unstructured data and developing machine-learning models using one or more data science programming languages (e.g., Python or R). Experience building executive-ready presentations and translating complex statistical or predictive modeling results into clear, actionable insights for non-technical audiences. Experience managing multiple analytical projects simultaneously, meeting defined deadlines, and operating effectively with minimal supervision. Experience applying critical thinking and analytical judgment to solve ambiguous problems and rapidly learn or apply new analytical techniques as project needs evolve. Preferred Qualifications & Skills Experience developing dashboards and visualizations using tools such as Tableau and/or Cognos, and querying large-scale database environments (e.g., Snowflake, Redshift). Experience applying supervised and unsupervised machine-learning algorithms and statistical methods, including clustering, PCA, linear and logistic regression, decision trees/random forests, boosted decision trees, forecasting, and model development. Experience designing and executing in analytical workflows using platforms such as Dataiku, Databricks, and/or Alteryx. Experience using Snowflake Cortex to leverage large language models (LLMs) and develop AI-powered applications for analyzing unstructured data. Experience analyzing HR and employee data within enterprise systems such as SAP, SuccessFactors, and/or Workday. Experience applying natural language processing (NLP) methods to extract insights from text data, including classification, topic modeling, sentiment analysis, or entity extraction. Experience operationalizing data science solutions by deploying models into production environments and partnering with engineering or business teams to ensure scalability, reliability, and ongoing performance monitoring. Education Associate or Bachelor degree in Statistics, Economics, Computer Science, Engineering, Mathematics, Analytics / Business Analytics, or other related quantitative field is required Master in Statistics, Economics, Computer Science, Engineering, Mathematics, Analytics / Business Analytics, or other related quantitative field is preferred Additional Information Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Burbank, CA and Anaheim, CA is $126,800-$154,800 per year and in Lake Buena Vista, FL is $120,700-$147,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
05/02/2026
Full time
At Disney, we're storytellers. We make the impossible possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Are you curious, creative, and love data? Do you love learning new things and collaborating with colleagues to solve hard, interesting problems? Imagine yourself as a Decision Scientist on the Human Resources (HR) Insights & Decision Science team in Disney Experiences (DX), where your natural curiosity to uncover analytical insights and trends will help ensure we make data-driven decisions within HR and across DX. In this role, you will be able to blaze new paths in this data-rich environment through statistical modeling, deep data analysis, and ongoing application of scientific methods to accelerate the company's understanding of its employees. You will implement and contribute to the design of machine learning and statistical methods analyses that will turn data into information to maximize the Company's investment in its employees. The right person for this role is self-directed and has exceptional analytical abilities, intellectual curiosity, and technical skills, a natural ability for storytelling using data, and is passionate about using statistical methods and visualizations to provide decision support for workforce-related issues. This position reports to the Manager, Human Resources Decision Science. This is a full-time role. What You Will Do Design, build, and implement accurate, sustainable, scalable, statistical models and advanced machine learning processes that support HR decisions, business processes, tools, or products. Apply state-of-the-art machine learning, statistics, or data mining techniques to address key workforce-related questions and measure the causal impact of HR initiatives. Develop scalable, reproducible, and efficient methods for data analysis and model development. Build and work with large and complex data sets from multiple systems and outside data sources. Consult with clients and analysts across the business, translating business objectives and analytical needs into repeatable analytical solutions. Share technical knowledge and guide analysts throughout the HR Insights and Decision Science team Present and explain results to technical and non-technical audiences through insightful visualizations that help tell a compelling story. Qualifications & Skills Experience in using statistical, econometric, machine learning, or data mining techniques to inform model development and business decisions in a professional or academic setting. Experience analyzing structured and unstructured data and developing machine-learning models using one or more data science programming languages (e.g., Python or R). Experience building executive-ready presentations and translating complex statistical or predictive modeling results into clear, actionable insights for non-technical audiences. Experience managing multiple analytical projects simultaneously, meeting defined deadlines, and operating effectively with minimal supervision. Experience applying critical thinking and analytical judgment to solve ambiguous problems and rapidly learn or apply new analytical techniques as project needs evolve. Preferred Qualifications & Skills Experience developing dashboards and visualizations using tools such as Tableau and/or Cognos, and querying large-scale database environments (e.g., Snowflake, Redshift). Experience applying supervised and unsupervised machine-learning algorithms and statistical methods, including clustering, PCA, linear and logistic regression, decision trees/random forests, boosted decision trees, forecasting, and model development. Experience designing and executing in analytical workflows using platforms such as Dataiku, Databricks, and/or Alteryx. Experience using Snowflake Cortex to leverage large language models (LLMs) and develop AI-powered applications for analyzing unstructured data. Experience analyzing HR and employee data within enterprise systems such as SAP, SuccessFactors, and/or Workday. Experience applying natural language processing (NLP) methods to extract insights from text data, including classification, topic modeling, sentiment analysis, or entity extraction. Experience operationalizing data science solutions by deploying models into production environments and partnering with engineering or business teams to ensure scalability, reliability, and ongoing performance monitoring. Education Associate or Bachelor degree in Statistics, Economics, Computer Science, Engineering, Mathematics, Analytics / Business Analytics, or other related quantitative field is required Master in Statistics, Economics, Computer Science, Engineering, Mathematics, Analytics / Business Analytics, or other related quantitative field is preferred Additional Information Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Burbank, CA and Anaheim, CA is $126,800-$154,800 per year and in Lake Buena Vista, FL is $120,700-$147,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
At Disney, we're storytellers. We make the impossible possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Are you curious, creative, and love data? Do you love learning new things and collaborating with colleagues to solve hard, interesting problems? Imagine yourself as a Decision Scientist on the Human Resources (HR) Insights & Decision Science team in Disney Experiences (DX), where your natural curiosity to uncover analytical insights and trends will help ensure we make data-driven decisions within HR and across DX. In this role, you will be able to blaze new paths in this data-rich environment through statistical modeling, deep data analysis, and ongoing application of scientific methods to accelerate the company's understanding of its employees. You will implement and contribute to the design of machine learning and statistical methods analyses that will turn data into information to maximize the Company's investment in its employees. The right person for this role is self-directed and has exceptional analytical abilities, intellectual curiosity, and technical skills, a natural ability for storytelling using data, and is passionate about using statistical methods and visualizations to provide decision support for workforce-related issues. This position reports to the Manager, Human Resources Decision Science. This is a full-time role. What You Will Do Design, build, and implement accurate, sustainable, scalable, statistical models and advanced machine learning processes that support HR decisions, business processes, tools, or products. Apply state-of-the-art machine learning, statistics, or data mining techniques to address key workforce-related questions and measure the causal impact of HR initiatives. Develop scalable, reproducible, and efficient methods for data analysis and model development. Build and work with large and complex data sets from multiple systems and outside data sources. Consult with clients and analysts across the business, translating business objectives and analytical needs into repeatable analytical solutions. Share technical knowledge and guide analysts throughout the HR Insights and Decision Science team Present and explain results to technical and non-technical audiences through insightful visualizations that help tell a compelling story. Qualifications & Skills Experience in using statistical, econometric, machine learning, or data mining techniques to inform model development and business decisions in a professional or academic setting. Experience analyzing structured and unstructured data and developing machine-learning models using one or more data science programming languages (e.g., Python or R). Experience building executive-ready presentations and translating complex statistical or predictive modeling results into clear, actionable insights for non-technical audiences. Experience managing multiple analytical projects simultaneously, meeting defined deadlines, and operating effectively with minimal supervision. Experience applying critical thinking and analytical judgment to solve ambiguous problems and rapidly learn or apply new analytical techniques as project needs evolve. Preferred Qualifications & Skills Experience developing dashboards and visualizations using tools such as Tableau and/or Cognos, and querying large-scale database environments (e.g., Snowflake, Redshift). Experience applying supervised and unsupervised machine-learning algorithms and statistical methods, including clustering, PCA, linear and logistic regression, decision trees/random forests, boosted decision trees, forecasting, and model development. Experience designing and executing in analytical workflows using platforms such as Dataiku, Databricks, and/or Alteryx. Experience using Snowflake Cortex to leverage large language models (LLMs) and develop AI-powered applications for analyzing unstructured data. Experience analyzing HR and employee data within enterprise systems such as SAP, SuccessFactors, and/or Workday. Experience applying natural language processing (NLP) methods to extract insights from text data, including classification, topic modeling, sentiment analysis, or entity extraction. Experience operationalizing data science solutions by deploying models into production environments and partnering with engineering or business teams to ensure scalability, reliability, and ongoing performance monitoring. Education Associate or Bachelor degree in Statistics, Economics, Computer Science, Engineering, Mathematics, Analytics / Business Analytics, or other related quantitative field is required Master in Statistics, Economics, Computer Science, Engineering, Mathematics, Analytics / Business Analytics, or other related quantitative field is preferred Additional Information Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Burbank, CA and Anaheim, CA is $126,800-$154,800 per year and in Lake Buena Vista, FL is $120,700-$147,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
05/01/2026
Full time
At Disney, we're storytellers. We make the impossible possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Are you curious, creative, and love data? Do you love learning new things and collaborating with colleagues to solve hard, interesting problems? Imagine yourself as a Decision Scientist on the Human Resources (HR) Insights & Decision Science team in Disney Experiences (DX), where your natural curiosity to uncover analytical insights and trends will help ensure we make data-driven decisions within HR and across DX. In this role, you will be able to blaze new paths in this data-rich environment through statistical modeling, deep data analysis, and ongoing application of scientific methods to accelerate the company's understanding of its employees. You will implement and contribute to the design of machine learning and statistical methods analyses that will turn data into information to maximize the Company's investment in its employees. The right person for this role is self-directed and has exceptional analytical abilities, intellectual curiosity, and technical skills, a natural ability for storytelling using data, and is passionate about using statistical methods and visualizations to provide decision support for workforce-related issues. This position reports to the Manager, Human Resources Decision Science. This is a full-time role. What You Will Do Design, build, and implement accurate, sustainable, scalable, statistical models and advanced machine learning processes that support HR decisions, business processes, tools, or products. Apply state-of-the-art machine learning, statistics, or data mining techniques to address key workforce-related questions and measure the causal impact of HR initiatives. Develop scalable, reproducible, and efficient methods for data analysis and model development. Build and work with large and complex data sets from multiple systems and outside data sources. Consult with clients and analysts across the business, translating business objectives and analytical needs into repeatable analytical solutions. Share technical knowledge and guide analysts throughout the HR Insights and Decision Science team Present and explain results to technical and non-technical audiences through insightful visualizations that help tell a compelling story. Qualifications & Skills Experience in using statistical, econometric, machine learning, or data mining techniques to inform model development and business decisions in a professional or academic setting. Experience analyzing structured and unstructured data and developing machine-learning models using one or more data science programming languages (e.g., Python or R). Experience building executive-ready presentations and translating complex statistical or predictive modeling results into clear, actionable insights for non-technical audiences. Experience managing multiple analytical projects simultaneously, meeting defined deadlines, and operating effectively with minimal supervision. Experience applying critical thinking and analytical judgment to solve ambiguous problems and rapidly learn or apply new analytical techniques as project needs evolve. Preferred Qualifications & Skills Experience developing dashboards and visualizations using tools such as Tableau and/or Cognos, and querying large-scale database environments (e.g., Snowflake, Redshift). Experience applying supervised and unsupervised machine-learning algorithms and statistical methods, including clustering, PCA, linear and logistic regression, decision trees/random forests, boosted decision trees, forecasting, and model development. Experience designing and executing in analytical workflows using platforms such as Dataiku, Databricks, and/or Alteryx. Experience using Snowflake Cortex to leverage large language models (LLMs) and develop AI-powered applications for analyzing unstructured data. Experience analyzing HR and employee data within enterprise systems such as SAP, SuccessFactors, and/or Workday. Experience applying natural language processing (NLP) methods to extract insights from text data, including classification, topic modeling, sentiment analysis, or entity extraction. Experience operationalizing data science solutions by deploying models into production environments and partnering with engineering or business teams to ensure scalability, reliability, and ongoing performance monitoring. Education Associate or Bachelor degree in Statistics, Economics, Computer Science, Engineering, Mathematics, Analytics / Business Analytics, or other related quantitative field is required Master in Statistics, Economics, Computer Science, Engineering, Mathematics, Analytics / Business Analytics, or other related quantitative field is preferred Additional Information Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Burbank, CA and Anaheim, CA is $126,800-$154,800 per year and in Lake Buena Vista, FL is $120,700-$147,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Locations: Boston Chicago Pittsburgh New York Brooklyn Miami Dallas San Francisco Seattle Los Angeles Manhattan Beach Washington Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do About the AISI Fellowship The Boston Consulting Group's AI Science Institute (AISI) is launching a postdoctoral fellowship program designed to empower the next generation of applied science leaders. This elite, industry-adjacent program offers PhDs and early-career scientists the opportunity to work on some of the world's most complex and high-impact scientific problems using cutting-edge AI, in collaboration with top-tier partners across aerospace, healthcare, energy, and materials science. Fellows will operate at the intersection of foundational research, real-world deployment, and strategic impact, helping shape breakthrough workstreams with AISI partners. Unlike traditional academic or big-tech postdocs, AISI fellows work on problems where the science, the data, and the deployment context are all partially undefined. Fellows are expected not only to advance models or methods, but to shape problem formulation, data strategy, and downstream impact alongside senior scientists, engineers, and industry leaders. What You'll Bring Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains. Collaborate with BCG X teams and external stakeholders, including scientists, engineers, business leaders, to frame and solve complex technical problems. Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners. Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation. Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact. Engage directly, as appropriate, with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders. Contribute to AISI priority research themes, which may include (illustrative, non-exhaustive): AI-accelerated materials discovery and optimization Scientific foundation models (biology, chemistry, climate, or physical systems) Simulation-augmented learning (e.g., physics-informed ML, RL + simulators) Compute-enabling technologies (chip design, process optimization, algorithm-hardware co-design) Quantum algorithms and hybrid classical-quantum workflows Who You'll Work With Program Details Duration: 24 months, with possibility of transition into full-time role at BCG X. Mentorship: Each fellow will be paired with a senior advisor and a technical/scientific lead from BCG X and a partner institution. Resources: Full access to BCG's infrastructure, compute resources, research datasets, and partner ecosystems. Compensation: Competitive salary aligned with industry postdoc benchmarks, plus support for publishing, conference travel, and IP generation. Fellows are encouraged to publish in top-tier venues unless constrained by client confidentiality or strategic IP considerations; in such cases, alternative external-facing research outputs (e.g., methods papers, open-source tools, or delayed publications) will be supported. What Success Looks Like By Month 6 Leading or co-leading a defined AISI research workstream Delivering models, methods, or code integrated into an active project Establishing a clear publication and/or IP trajectory identified By Month 12 Producing at least one external-facing research output, such as a paper, preprint, workshop, or open-source contribution. Being recognized internally as a go-to contributor in a priority scientific domain. Actively collaborating with at least one external partner or client R&D team. By Month 24 Delivering multiple high-quality research outputs and/or patented IP. Establishing a clear path to a permanent role at BCG X or strong placement into a top-tier industry or research position. Additional info Why Join AISI? Work on projects that matter from geospatial intelligence to drug discovery to next-gen material discovery. Collaborate with leading researchers, product builders, and Fortune 500 clients shaping the frontier of AI-assisted scientific discovery. Design and explore high-upside ideas that align with your research vision and AISI's strategic priorities. Help build the foundational talent model for AISI as it scales into a global scientific innovation engine. What This Fellowship Is Not A traditional academic postdoc with a single PI and a narrowly defined research agenda. A consulting role focused on slide production or short-term delivery. A pure ML engineering role detached from scientific problem-solving. How to Apply Submit your Resume/CV and a 1-2 page statement of interest combined in one pdf (research background, domains of interest, and why AISI) Share any relevant links to publications, code, or personal projects You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is $158,400. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable . click apply for full job details
05/01/2026
Full time
Locations: Boston Chicago Pittsburgh New York Brooklyn Miami Dallas San Francisco Seattle Los Angeles Manhattan Beach Washington Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do About the AISI Fellowship The Boston Consulting Group's AI Science Institute (AISI) is launching a postdoctoral fellowship program designed to empower the next generation of applied science leaders. This elite, industry-adjacent program offers PhDs and early-career scientists the opportunity to work on some of the world's most complex and high-impact scientific problems using cutting-edge AI, in collaboration with top-tier partners across aerospace, healthcare, energy, and materials science. Fellows will operate at the intersection of foundational research, real-world deployment, and strategic impact, helping shape breakthrough workstreams with AISI partners. Unlike traditional academic or big-tech postdocs, AISI fellows work on problems where the science, the data, and the deployment context are all partially undefined. Fellows are expected not only to advance models or methods, but to shape problem formulation, data strategy, and downstream impact alongside senior scientists, engineers, and industry leaders. What You'll Bring Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains. Collaborate with BCG X teams and external stakeholders, including scientists, engineers, business leaders, to frame and solve complex technical problems. Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners. Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation. Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact. Engage directly, as appropriate, with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders. Contribute to AISI priority research themes, which may include (illustrative, non-exhaustive): AI-accelerated materials discovery and optimization Scientific foundation models (biology, chemistry, climate, or physical systems) Simulation-augmented learning (e.g., physics-informed ML, RL + simulators) Compute-enabling technologies (chip design, process optimization, algorithm-hardware co-design) Quantum algorithms and hybrid classical-quantum workflows Who You'll Work With Program Details Duration: 24 months, with possibility of transition into full-time role at BCG X. Mentorship: Each fellow will be paired with a senior advisor and a technical/scientific lead from BCG X and a partner institution. Resources: Full access to BCG's infrastructure, compute resources, research datasets, and partner ecosystems. Compensation: Competitive salary aligned with industry postdoc benchmarks, plus support for publishing, conference travel, and IP generation. Fellows are encouraged to publish in top-tier venues unless constrained by client confidentiality or strategic IP considerations; in such cases, alternative external-facing research outputs (e.g., methods papers, open-source tools, or delayed publications) will be supported. What Success Looks Like By Month 6 Leading or co-leading a defined AISI research workstream Delivering models, methods, or code integrated into an active project Establishing a clear publication and/or IP trajectory identified By Month 12 Producing at least one external-facing research output, such as a paper, preprint, workshop, or open-source contribution. Being recognized internally as a go-to contributor in a priority scientific domain. Actively collaborating with at least one external partner or client R&D team. By Month 24 Delivering multiple high-quality research outputs and/or patented IP. Establishing a clear path to a permanent role at BCG X or strong placement into a top-tier industry or research position. Additional info Why Join AISI? Work on projects that matter from geospatial intelligence to drug discovery to next-gen material discovery. Collaborate with leading researchers, product builders, and Fortune 500 clients shaping the frontier of AI-assisted scientific discovery. Design and explore high-upside ideas that align with your research vision and AISI's strategic priorities. Help build the foundational talent model for AISI as it scales into a global scientific innovation engine. What This Fellowship Is Not A traditional academic postdoc with a single PI and a narrowly defined research agenda. A consulting role focused on slide production or short-term delivery. A pure ML engineering role detached from scientific problem-solving. How to Apply Submit your Resume/CV and a 1-2 page statement of interest combined in one pdf (research background, domains of interest, and why AISI) Share any relevant links to publications, code, or personal projects You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is $158,400. At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs Dental coverage, including up to $5,000 in orthodontia benefits Vision insurance with coverage for both glasses and contact lenses annually Reimbursement for gym memberships and other fitness activities Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) Paid sick time on an as needed basis Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable . click apply for full job details
Director, Data Science and Marketing Analytics Innovation US-MI-Livonia Job ID: Type: Regular Full-Time # of Openings: 1 Category: Marketing Analytics & Data Science Livonia, MI Hybrid Overview Why AAA Life AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive. How You'll Work Work Solution: Hybrid Relocation Eligibility: Available Responsibilities What You'll Do The Data Science and Marketing Analytics Innovation Lead drives data-driven marketing strategies for a specific product line. This agile, empathetic, adaptable analytics leader bridges marketing and data science teams while demonstrating deep data science marketing knowledge-including direct mail, digital strategies, customer behavior, campaign execution and optimization, and process automation -to develop effective, data-driven decisions. Excelling at multitasking, they seamlessly transition between strategic planning and tactical execution under tight deadlines, effectively communicating complex concepts to diverse audiences. They contribute to the organizational transformation initiatives, lead change management, foster a culture of data-driven decision-making, identify and implement emerging analytics technologies. This role supervises a team of data scientists, analysts, and engineers and collaborates with product team members and managers. Product Data and Analytics Strategy : Develop and execute data and analytics plans aligned with product and organizational goals. Predictive Modeling : Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness. Marketing Analytics : Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI. Cross-functional Collaboration : Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations. Team Leadership : Mentor and manage Data Scientists, Analysts, Engineers in a collaborative, innovative environment. Data Infrastructure : Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines. Experimental Design : Implement testing frameworks and A/B experiments to boost customer experience and marketing performance. Performance Reporting : Develop dashboards and reports to monitor product performance and key business metrics. Automation Strategy : Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities. Innovation and Optimization : Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements. Qualifications Basic Required Qualifications Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field Minimum 10 years of experience in data science, analytics, or related field Minimum of 7 years of experience in managing and leading people Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics. Proven leadership in data science or analytics with a marketing focus. Strong technical background in predictive modeling, statistics, and data visualization coupled with experience leading teams through organizational transformation and innovation. Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models. Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar). Adaptable and quick with technology. Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation). Experience designing and implementing automated reporting and alerting systems. Excellent persuasive communication skills for bridging technical and non-technical audiences. Excellent presentation skills for executive leadership. Preferred Qualifications Previous experience in the life insurance, insurance, or adjacent industry Experience with Generative AI technologies for marketing applications Experience leading cross-functional teams in a matrix organization without direct authority Experience with customer journey and lifetime value analysis Position Success Criteria Excellent written and verbal communication skills Strong organizational, problem-solving, and analytical skills Versatility, flexibility, and willingness to adapt to changing priorities Ability to exercise independent judgment and demonstrate leadership skills Proven ability to manage multiple projects and meet deadlines Strong interpersonal skills for effective collaboration and stakeholder engagement While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future. PM21 PIb0c5-
05/01/2026
Full time
Director, Data Science and Marketing Analytics Innovation US-MI-Livonia Job ID: Type: Regular Full-Time # of Openings: 1 Category: Marketing Analytics & Data Science Livonia, MI Hybrid Overview Why AAA Life AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive. How You'll Work Work Solution: Hybrid Relocation Eligibility: Available Responsibilities What You'll Do The Data Science and Marketing Analytics Innovation Lead drives data-driven marketing strategies for a specific product line. This agile, empathetic, adaptable analytics leader bridges marketing and data science teams while demonstrating deep data science marketing knowledge-including direct mail, digital strategies, customer behavior, campaign execution and optimization, and process automation -to develop effective, data-driven decisions. Excelling at multitasking, they seamlessly transition between strategic planning and tactical execution under tight deadlines, effectively communicating complex concepts to diverse audiences. They contribute to the organizational transformation initiatives, lead change management, foster a culture of data-driven decision-making, identify and implement emerging analytics technologies. This role supervises a team of data scientists, analysts, and engineers and collaborates with product team members and managers. Product Data and Analytics Strategy : Develop and execute data and analytics plans aligned with product and organizational goals. Predictive Modeling : Lead the creation of customer segmentation and propensity models to enhance marketing effectiveness. Marketing Analytics : Direct cross-channel campaign analysis, establish KPIs, and optimize marketing ROI. Cross-functional Collaboration : Serve as the primary liaison between data teams and marketing stakeholders, translating technical insights into actionable business recommendations. Team Leadership : Mentor and manage Data Scientists, Analysts, Engineers in a collaborative, innovative environment. Data Infrastructure : Collaborate with Analytics Engineering to build and maintain robust, compliant data pipelines. Experimental Design : Implement testing frameworks and A/B experiments to boost customer experience and marketing performance. Performance Reporting : Develop dashboards and reports to monitor product performance and key business metrics. Automation Strategy : Spearhead the identification, design, and implementation of automation opportunities, including generative AI, across the data and marketing workflow. Develop intelligent automation solutions that reduce manual effort, increase operational efficiency, and allow the team to focus on high-value strategic activities. Innovation and Optimization : Review and understand tools in the marketplace that will help with innovation and optimization. Actively seek out new use cases and experiments that will result in organizational transformation and sales and profit improvements. Qualifications Basic Required Qualifications Master's degree in Statistics, Data Science, Economics, Computer Science, Mathematics, or related quantitative field Minimum 10 years of experience in data science, analytics, or related field Minimum of 7 years of experience in managing and leading people Strategic thinker with a passion for innovative marketing strategies; has a deep understanding of direct mail and digital marketing analytics. Proven leadership in data science or analytics with a marketing focus. Strong technical background in predictive modeling, statistics, and data visualization coupled with experience leading teams through organizational transformation and innovation. Extensive hands-on experience in direct marketing, digital campaign optimization, experimental design, A/B testing, modeling using Generative AI/ML, and marketing media attribution models. Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts Advanced proficiency in Python, SQL, and marketing technology platforms such as DataRobot, Adobe Campaigns, DataBricks, and CDPs. Experience with marketing technology cloud platforms (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI, or similar). Adaptable and quick with technology. Knowledge of automation tools and technologies (workflow automation, RPA, AI-driven automation). Experience designing and implementing automated reporting and alerting systems. Excellent persuasive communication skills for bridging technical and non-technical audiences. Excellent presentation skills for executive leadership. Preferred Qualifications Previous experience in the life insurance, insurance, or adjacent industry Experience with Generative AI technologies for marketing applications Experience leading cross-functional teams in a matrix organization without direct authority Experience with customer journey and lifetime value analysis Position Success Criteria Excellent written and verbal communication skills Strong organizational, problem-solving, and analytical skills Versatility, flexibility, and willingness to adapt to changing priorities Ability to exercise independent judgment and demonstrate leadership skills Proven ability to manage multiple projects and meet deadlines Strong interpersonal skills for effective collaboration and stakeholder engagement While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future. PM21 PIb0c5-
New York Institute of Technology
Old Westbury, New York
Adjunct Faculty- Interdisciplinary Health Sciences Job Location(s) US-NY-Old Westbury Job ID Division School of Health Professions Position Type Adjunct Type Regular Part-Time Category School of Health Professions Overview New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university's community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future. For more information, visit nyit.edu. Responsibilities The Department of Interdisciplinary Health Sciences seeks part-time Adjunct faculty to fill possible openings in the following areas in our Health Sciences Programs: Community Health, Health Information Management, Epidemiology, Healthcare Payment Systems, and Exercise Science. Qualifications Required Degree: Master's Degree Preferred Degree: Doctorate Required Field of Expertise: Must have expert knowledge in a health and/or exercise science.Preferred Experience: Candidates with higher education teaching experience, knowledge of asynchronous and synchronous online platforms and experience in using the Canvas Learning Management System are strongly preferred. Rank and Salary commensurate with education and experience. Other Information New York Institute of Technology is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer. Adjunct Faculty offered hourly rate is contingent on applicable rank. Minimum Salary USD $99.00/Hr. Maximum Salary USD $108.00/Hr.
05/01/2026
Adjunct Faculty- Interdisciplinary Health Sciences Job Location(s) US-NY-Old Westbury Job ID Division School of Health Professions Position Type Adjunct Type Regular Part-Time Category School of Health Professions Overview New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability. A nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955, it welcomes nearly 8,000 students worldwide. The university has campuses in New York City and Long Island, New York; Jonesboro, Arkansas; and Vancouver, British Columbia, as well as programs around the world. More than 112,000 alumni are part of an engaged network of physicians, architects, scientists, engineers, business leaders, digital artists, and healthcare professionals. Together, the university's community of doers, makers, healers, and innovators empowers graduates to change the world, solve 21st-century challenges, and reinvent the future. For more information, visit nyit.edu. Responsibilities The Department of Interdisciplinary Health Sciences seeks part-time Adjunct faculty to fill possible openings in the following areas in our Health Sciences Programs: Community Health, Health Information Management, Epidemiology, Healthcare Payment Systems, and Exercise Science. Qualifications Required Degree: Master's Degree Preferred Degree: Doctorate Required Field of Expertise: Must have expert knowledge in a health and/or exercise science.Preferred Experience: Candidates with higher education teaching experience, knowledge of asynchronous and synchronous online platforms and experience in using the Canvas Learning Management System are strongly preferred. Rank and Salary commensurate with education and experience. Other Information New York Institute of Technology is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is listed. New York Tech considers factors such as (but not limited to) scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations and/or applicable collective bargaining agreement when extending an offer. Adjunct Faculty offered hourly rate is contingent on applicable rank. Minimum Salary USD $99.00/Hr. Maximum Salary USD $108.00/Hr.
Project Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time hydrogeologist or groundwater hydrologist to join our California Team. The position includes mid-level responsibilities and requires the ability to manage and provide technical support to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resource professionals, headquartered in Tucson, Arizona, has been in business since 1984 and is growing, with recent expansions in the western United States and South America. In California, our team comprises 24 professional staff across 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This position will support groundwater resource and environmental projects throughout California. The role offers an exciting opportunity to work with an enthusiastic team of water resource scientists and engineers. The position is available in our Sacramento or Oakland location. We currently require staff to work at least 50% in the office collaboration, mentoring, and interacting on project work. Work duties will include: Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resource management, including: Supporting projects planning and implementation of the Sustainable Groundwater Management Act (SGMA) Supporting groundwater remediation activities associated with complex environmental sites, including monitoring program coordination, data evaluation, and reporting Interpretation of lithologic, hydrologic testing, depth-specific water quality, and borehole geophysical data Designing and interpreting results of predictive modeling runs and supporting model updates Evaluating and filling hydrogeologic data gaps Developing hydrogeologic conceptual models Developing water budgets Designing and managing field investigations Interacting with field teams to implement monitoring programs Evaluating data and preparing technical reports Preparing technical proposals and work plans for future work Overseeing work completed by junior staff Assisting project managers with administrative duties on projects Education and Professional Credentials Graduate degree in hydrology, geology, civil engineering, or environmental engineering OR Professional registration (P.G. or P.E.) (Both preferred, but at least one required) Required Qualifications Understanding of groundwater principles Clear understanding of how to apply hydrogeologic principles to characterize and assess groundwater systems Five to 10 years of experience in environmental and water resource consulting Task or project management experience Understanding of SGMA regulatory requirements Strong organizational, troubleshooting, and problem-solving skills, and ability to meet deadlines Proficiency with standard analytical approaches and tools Demonstrated technical writing skills and ability to present technical information in group/meeting settings to peers and clients Team-oriented and experienced with delegating work to staff and reviewing staff deliverables Interest in engaging in professional organizations, including presenting at conferences Preferred Qualifications Working knowledge of geographic information systems (ArcGIS), Survey123, and SQL and Access databases Professional experience working with groundwater models and stratigraphic modeling software Experience working on SGMA implementation projects for local Groundwater Sustainability Agencies Professional experience with groundwater sampling, remedial investigations, and remediation technologies Your benefits at Montgomery & Associates will include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Monthly Base Pay Range: $8,000 - $9,500 Estimated Annualized Compensation Including Bonuses: $108,000 - $128,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PIe2bf5-
05/01/2026
Full time
Project Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time hydrogeologist or groundwater hydrologist to join our California Team. The position includes mid-level responsibilities and requires the ability to manage and provide technical support to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resource professionals, headquartered in Tucson, Arizona, has been in business since 1984 and is growing, with recent expansions in the western United States and South America. In California, our team comprises 24 professional staff across 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This position will support groundwater resource and environmental projects throughout California. The role offers an exciting opportunity to work with an enthusiastic team of water resource scientists and engineers. The position is available in our Sacramento or Oakland location. We currently require staff to work at least 50% in the office collaboration, mentoring, and interacting on project work. Work duties will include: Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resource management, including: Supporting projects planning and implementation of the Sustainable Groundwater Management Act (SGMA) Supporting groundwater remediation activities associated with complex environmental sites, including monitoring program coordination, data evaluation, and reporting Interpretation of lithologic, hydrologic testing, depth-specific water quality, and borehole geophysical data Designing and interpreting results of predictive modeling runs and supporting model updates Evaluating and filling hydrogeologic data gaps Developing hydrogeologic conceptual models Developing water budgets Designing and managing field investigations Interacting with field teams to implement monitoring programs Evaluating data and preparing technical reports Preparing technical proposals and work plans for future work Overseeing work completed by junior staff Assisting project managers with administrative duties on projects Education and Professional Credentials Graduate degree in hydrology, geology, civil engineering, or environmental engineering OR Professional registration (P.G. or P.E.) (Both preferred, but at least one required) Required Qualifications Understanding of groundwater principles Clear understanding of how to apply hydrogeologic principles to characterize and assess groundwater systems Five to 10 years of experience in environmental and water resource consulting Task or project management experience Understanding of SGMA regulatory requirements Strong organizational, troubleshooting, and problem-solving skills, and ability to meet deadlines Proficiency with standard analytical approaches and tools Demonstrated technical writing skills and ability to present technical information in group/meeting settings to peers and clients Team-oriented and experienced with delegating work to staff and reviewing staff deliverables Interest in engaging in professional organizations, including presenting at conferences Preferred Qualifications Working knowledge of geographic information systems (ArcGIS), Survey123, and SQL and Access databases Professional experience working with groundwater models and stratigraphic modeling software Experience working on SGMA implementation projects for local Groundwater Sustainability Agencies Professional experience with groundwater sampling, remedial investigations, and remediation technologies Your benefits at Montgomery & Associates will include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Monthly Base Pay Range: $8,000 - $9,500 Estimated Annualized Compensation Including Bonuses: $108,000 - $128,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PIe2bf5-
Senior Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time senior hydrogeologist to join our California Team. The position includes senior-level responsibilities and requires the ability to manage and provide technical oversight to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resources professionals, headquartered in Tucson, AZ, has been in business since 1984 and is growing, with recent expansions in the western U.S. and South America. In California, our team comprises 23 professionals located in 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This role offers an exciting opportunity to work with an enthusiastic team of water resource scientists and engineers throughout California and interact with our expert team of modelers and senior professionals in Tucson. Responsibilities Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resources management, including: Implementing SGMA and supporting engineering projects to achieve sustainability Designing and interpreting predictive modeling runs and supporting model updates Developing hydrogeologic conceptual models and water budgets Designing monitoring networks and coordinating field teams to implement monitoring programs Meeting with regulatory agencies and water agencies Evaluating data and preparing technical reports Reviewing technical reports at a senior level Supporting Program Manager and Task Managers in evaluating level of effort and scope of work for new technical efforts Directing, training, and mentoring junior staff Managing relationships with clients and other project stakeholders, including regulatory agencies Preparing technical proposals and work plans for future work Leading business development by building client relationships, identifying opportunities, and contributing to proposals and scopes Qualifications Graduate degree in hydrology, geology, or engineering Strong ability to apply hydrogeologic principles to characterize and assess groundwater systems Familiarity with California water laws and regulations preferred Fifteen or more years of experience in environmental and water resources consulting Professional registration (P.G. or P.E.) Professional experience working with groundwater models Experience working on SGMA projects for Groundwater Sustainability Agencies Proven task or project management experience Excellent technical writing skills and ability to present technical information in group/meeting settings Proficiency with standard analytical approaches and tools Interest in engaging in professional organizations, including presenting at conferences Ability to legally work and reside in the United States Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Compensation range: Monthly Base Pay Range: $10,400 - $14,000 Estimated Annualized Compensation Including Bonuses: $140,400 - $189,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. Compensation details: 00 Yearly Salary PI332b799b7c39-0150
05/01/2026
Full time
Senior Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time senior hydrogeologist to join our California Team. The position includes senior-level responsibilities and requires the ability to manage and provide technical oversight to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resources professionals, headquartered in Tucson, AZ, has been in business since 1984 and is growing, with recent expansions in the western U.S. and South America. In California, our team comprises 23 professionals located in 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This role offers an exciting opportunity to work with an enthusiastic team of water resource scientists and engineers throughout California and interact with our expert team of modelers and senior professionals in Tucson. Responsibilities Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resources management, including: Implementing SGMA and supporting engineering projects to achieve sustainability Designing and interpreting predictive modeling runs and supporting model updates Developing hydrogeologic conceptual models and water budgets Designing monitoring networks and coordinating field teams to implement monitoring programs Meeting with regulatory agencies and water agencies Evaluating data and preparing technical reports Reviewing technical reports at a senior level Supporting Program Manager and Task Managers in evaluating level of effort and scope of work for new technical efforts Directing, training, and mentoring junior staff Managing relationships with clients and other project stakeholders, including regulatory agencies Preparing technical proposals and work plans for future work Leading business development by building client relationships, identifying opportunities, and contributing to proposals and scopes Qualifications Graduate degree in hydrology, geology, or engineering Strong ability to apply hydrogeologic principles to characterize and assess groundwater systems Familiarity with California water laws and regulations preferred Fifteen or more years of experience in environmental and water resources consulting Professional registration (P.G. or P.E.) Professional experience working with groundwater models Experience working on SGMA projects for Groundwater Sustainability Agencies Proven task or project management experience Excellent technical writing skills and ability to present technical information in group/meeting settings Proficiency with standard analytical approaches and tools Interest in engaging in professional organizations, including presenting at conferences Ability to legally work and reside in the United States Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Compensation range: Monthly Base Pay Range: $10,400 - $14,000 Estimated Annualized Compensation Including Bonuses: $140,400 - $189,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. Compensation details: 00 Yearly Salary PI332b799b7c39-0150
Senior Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time senior hydrogeologist to join our California Team. The position includes senior-level responsibilities and requires the ability to manage and provide technical oversight to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resources professionals, headquartered in Tucson, AZ, has been in business since 1984 and is growing, with recent expansions in the western U.S. and South America. In California, our team comprises 23 professionals located in 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This role offers an exciting opportunity to work with an enthusiastic team of water resource scientists and engineers throughout California and interact with our expert team of modelers and senior professionals in Tucson. Responsibilities Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resources management, including: Implementing SGMA and supporting engineering projects to achieve sustainability Designing and interpreting predictive modeling runs and supporting model updates Developing hydrogeologic conceptual models and water budgets Designing monitoring networks and coordinating field teams to implement monitoring programs Meeting with regulatory agencies and water agencies Evaluating data and preparing technical reports Reviewing technical reports at a senior level Supporting Program Manager and Task Managers in evaluating level of effort and scope of work for new technical efforts Directing, training, and mentoring junior staff Managing relationships with clients and other project stakeholders, including regulatory agencies Preparing technical proposals and work plans for future work Leading business development by building client relationships, identifying opportunities, and contributing to proposals and scopes Qualifications Graduate degree in hydrology, geology, or engineering Strong ability to apply hydrogeologic principles to characterize and assess groundwater systems Familiarity with California water laws and regulations preferred Fifteen or more years of experience in environmental and water resources consulting Professional registration (P.G. or P.E.) Professional experience working with groundwater models Experience working on SGMA projects for Groundwater Sustainability Agencies Proven task or project management experience Excellent technical writing skills and ability to present technical information in group/meeting settings Proficiency with standard analytical approaches and tools Interest in engaging in professional organizations, including presenting at conferences Ability to legally work and reside in the United States Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Compensation range: Monthly Base Pay Range: $10,400 - $14,000 Estimated Annualized Compensation Including Bonuses: $140,400 - $189,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. Compensation details: 00 Yearly Salary PI12d95f62e5-
05/01/2026
Full time
Senior Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time senior hydrogeologist to join our California Team. The position includes senior-level responsibilities and requires the ability to manage and provide technical oversight to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resources professionals, headquartered in Tucson, AZ, has been in business since 1984 and is growing, with recent expansions in the western U.S. and South America. In California, our team comprises 23 professionals located in 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This role offers an exciting opportunity to work with an enthusiastic team of water resource scientists and engineers throughout California and interact with our expert team of modelers and senior professionals in Tucson. Responsibilities Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resources management, including: Implementing SGMA and supporting engineering projects to achieve sustainability Designing and interpreting predictive modeling runs and supporting model updates Developing hydrogeologic conceptual models and water budgets Designing monitoring networks and coordinating field teams to implement monitoring programs Meeting with regulatory agencies and water agencies Evaluating data and preparing technical reports Reviewing technical reports at a senior level Supporting Program Manager and Task Managers in evaluating level of effort and scope of work for new technical efforts Directing, training, and mentoring junior staff Managing relationships with clients and other project stakeholders, including regulatory agencies Preparing technical proposals and work plans for future work Leading business development by building client relationships, identifying opportunities, and contributing to proposals and scopes Qualifications Graduate degree in hydrology, geology, or engineering Strong ability to apply hydrogeologic principles to characterize and assess groundwater systems Familiarity with California water laws and regulations preferred Fifteen or more years of experience in environmental and water resources consulting Professional registration (P.G. or P.E.) Professional experience working with groundwater models Experience working on SGMA projects for Groundwater Sustainability Agencies Proven task or project management experience Excellent technical writing skills and ability to present technical information in group/meeting settings Proficiency with standard analytical approaches and tools Interest in engaging in professional organizations, including presenting at conferences Ability to legally work and reside in the United States Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Compensation range: Monthly Base Pay Range: $10,400 - $14,000 Estimated Annualized Compensation Including Bonuses: $140,400 - $189,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. Compensation details: 00 Yearly Salary PI12d95f62e5-
Staff Hydrogeologist (Field Focused) Montgomery & Associates (M&A) is seeking a full-time hydrogeologist to join our growing team in Phoenix, Arizona. This position focuses on projects involving environmental investigations, lithologic logging, and water well drilling, construction, sampling, and testing. Most work will occur in Arizona, with occasional assignments elsewhere in the Southwest. Some projects may be in remote areas and require overnight stays for extended periods. Duties will include a combination of field and office work. The ratio between field and office tasks may be highly variable and is determined by need. We're looking for a self-motivated professional with strong time management, organizational, and communication skills. M&A provides training for all field and office tasks. If you have 0-5 years of experience, a bachelor's degree in geology, hydrology, or a related field, and an interest in diverse water resource and environmental projects, we encourage you to apply. Fieldwork Duties Observe and document drilling operations, including lithologic logging and interpretation of borehole geophysical logs Monitor well installation and development; verify compliance with specifications and direct drilling contractors Support well development, rehabilitation, and pump installation procedures Measure water levels, download dataloggers, and collect water, soil, and air samples Install, configure, troubleshoot, and repair groundwater and surface-water monitoring equipment and telemetry systems Conduct pumping, slug, infiltration, and other field tests Lead health and safety meetings and ensure compliance with protocols Maintain detailed field notes and communicate daily activities to project managers and clients Office duties Develop scopes of work, sampling plans, drilling specifications, and health and safety plans Prepare lithologic logs and sample documentation Analyze field data, process pumping test results, and recommend sustainable pumping rates Manage and configure instrumentation remotely; integrate data into internal systems Prepare data summaries, presentations, and technical reports Assist with regulatory compliance reporting and participate in client meetings Qualifications Bachelor's degree in geology, hydrology, earth science, engineering, or related field; graduate degree a plus 0-2 years of experience in water well drilling, construction, development, and testing Willingness to learn well design fundamentals and Arizona well construction standards Ability to work safely in remote outdoor locations and around heavy machinery Comfortable with long field shifts (up to 14 hours), night work, and extended field tours Ability to lift 50 lbs and perform physical tasks (standing, kneeling, hiking on uneven terrain) Strong organizational, troubleshooting, and problem-solving skills Proficiency with Microsoft Office; familiarity with ArcGIS, Survey123, and SQL and Access databases preferred Familiarity with CERCLA projects and related regulatory requirements helpful Excellent verbal and written communication skills; positive, team-oriented attitude Valid U.S. driver's license and clean driving record Ability to legally work in the U.S.; must pass background check and drug test Certifications such as 40-hour HAZWOPER or MSHA are a plus At M&A, our mission is to promote a fulfilling and respectful work culture where employees collaborate to deliver pragmatic water resource solutions grounded in the principles of integrity, scientific rigor, and environmental responsibility. We are independently owned by practicing scientists who are committed to these values and to supporting our community partners. Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Challenging and collaborative multidisciplinary projects On the job mentoring by senior professionals Western U.S. projects and travel opportunities Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Paid parental leave Employer matching 401k retirement plan An Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI9ae93c285a65-9081
05/01/2026
Full time
Staff Hydrogeologist (Field Focused) Montgomery & Associates (M&A) is seeking a full-time hydrogeologist to join our growing team in Phoenix, Arizona. This position focuses on projects involving environmental investigations, lithologic logging, and water well drilling, construction, sampling, and testing. Most work will occur in Arizona, with occasional assignments elsewhere in the Southwest. Some projects may be in remote areas and require overnight stays for extended periods. Duties will include a combination of field and office work. The ratio between field and office tasks may be highly variable and is determined by need. We're looking for a self-motivated professional with strong time management, organizational, and communication skills. M&A provides training for all field and office tasks. If you have 0-5 years of experience, a bachelor's degree in geology, hydrology, or a related field, and an interest in diverse water resource and environmental projects, we encourage you to apply. Fieldwork Duties Observe and document drilling operations, including lithologic logging and interpretation of borehole geophysical logs Monitor well installation and development; verify compliance with specifications and direct drilling contractors Support well development, rehabilitation, and pump installation procedures Measure water levels, download dataloggers, and collect water, soil, and air samples Install, configure, troubleshoot, and repair groundwater and surface-water monitoring equipment and telemetry systems Conduct pumping, slug, infiltration, and other field tests Lead health and safety meetings and ensure compliance with protocols Maintain detailed field notes and communicate daily activities to project managers and clients Office duties Develop scopes of work, sampling plans, drilling specifications, and health and safety plans Prepare lithologic logs and sample documentation Analyze field data, process pumping test results, and recommend sustainable pumping rates Manage and configure instrumentation remotely; integrate data into internal systems Prepare data summaries, presentations, and technical reports Assist with regulatory compliance reporting and participate in client meetings Qualifications Bachelor's degree in geology, hydrology, earth science, engineering, or related field; graduate degree a plus 0-2 years of experience in water well drilling, construction, development, and testing Willingness to learn well design fundamentals and Arizona well construction standards Ability to work safely in remote outdoor locations and around heavy machinery Comfortable with long field shifts (up to 14 hours), night work, and extended field tours Ability to lift 50 lbs and perform physical tasks (standing, kneeling, hiking on uneven terrain) Strong organizational, troubleshooting, and problem-solving skills Proficiency with Microsoft Office; familiarity with ArcGIS, Survey123, and SQL and Access databases preferred Familiarity with CERCLA projects and related regulatory requirements helpful Excellent verbal and written communication skills; positive, team-oriented attitude Valid U.S. driver's license and clean driving record Ability to legally work in the U.S.; must pass background check and drug test Certifications such as 40-hour HAZWOPER or MSHA are a plus At M&A, our mission is to promote a fulfilling and respectful work culture where employees collaborate to deliver pragmatic water resource solutions grounded in the principles of integrity, scientific rigor, and environmental responsibility. We are independently owned by practicing scientists who are committed to these values and to supporting our community partners. Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Challenging and collaborative multidisciplinary projects On the job mentoring by senior professionals Western U.S. projects and travel opportunities Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Paid parental leave Employer matching 401k retirement plan An Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI9ae93c285a65-9081
Senior Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time senior hydrogeologist to join our California Team. The position includes senior-level responsibilities and requires the ability to manage and provide technical oversight to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resources professionals, headquartered in Tucson, AZ, has been in business since 1984 and is growing, with recent expansions in the western U.S. and South America. In California, our team comprises 23 professionals located in 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This role offers an exciting opportunity to work with an enthusiastic team of water resource scientists and engineers throughout California and interact with our expert team of modelers and senior professionals in Tucson. Responsibilities Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resources management, including: Implementing SGMA and supporting engineering projects to achieve sustainability Designing and interpreting predictive modeling runs and supporting model updates Developing hydrogeologic conceptual models and water budgets Designing monitoring networks and coordinating field teams to implement monitoring programs Meeting with regulatory agencies and water agencies Evaluating data and preparing technical reports Reviewing technical reports at a senior level Supporting Program Manager and Task Managers in evaluating level of effort and scope of work for new technical efforts Directing, training, and mentoring junior staff Managing relationships with clients and other project stakeholders, including regulatory agencies Preparing technical proposals and work plans for future work Leading business development by building client relationships, identifying opportunities, and contributing to proposals and scopes Qualifications Graduate degree in hydrology, geology, or engineering Strong ability to apply hydrogeologic principles to characterize and assess groundwater systems Familiarity with California water laws and regulations preferred Fifteen or more years of experience in environmental and water resources consulting Professional registration (P.G. or P.E.) Professional experience working with groundwater models Experience working on SGMA projects for Groundwater Sustainability Agencies Proven task or project management experience Excellent technical writing skills and ability to present technical information in group/meeting settings Proficiency with standard analytical approaches and tools Interest in engaging in professional organizations, including presenting at conferences Ability to legally work and reside in the United States Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Compensation range: Monthly Base Pay Range: $10,400 - $14,000 Estimated Annualized Compensation Including Bonuses: $140,400 - $189,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI538956fda1f5-1850
05/01/2026
Full time
Senior Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time senior hydrogeologist to join our California Team. The position includes senior-level responsibilities and requires the ability to manage and provide technical oversight to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resources professionals, headquartered in Tucson, AZ, has been in business since 1984 and is growing, with recent expansions in the western U.S. and South America. In California, our team comprises 23 professionals located in 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This role offers an exciting opportunity to work with an enthusiastic team of water resource scientists and engineers throughout California and interact with our expert team of modelers and senior professionals in Tucson. Responsibilities Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resources management, including: Implementing SGMA and supporting engineering projects to achieve sustainability Designing and interpreting predictive modeling runs and supporting model updates Developing hydrogeologic conceptual models and water budgets Designing monitoring networks and coordinating field teams to implement monitoring programs Meeting with regulatory agencies and water agencies Evaluating data and preparing technical reports Reviewing technical reports at a senior level Supporting Program Manager and Task Managers in evaluating level of effort and scope of work for new technical efforts Directing, training, and mentoring junior staff Managing relationships with clients and other project stakeholders, including regulatory agencies Preparing technical proposals and work plans for future work Leading business development by building client relationships, identifying opportunities, and contributing to proposals and scopes Qualifications Graduate degree in hydrology, geology, or engineering Strong ability to apply hydrogeologic principles to characterize and assess groundwater systems Familiarity with California water laws and regulations preferred Fifteen or more years of experience in environmental and water resources consulting Professional registration (P.G. or P.E.) Professional experience working with groundwater models Experience working on SGMA projects for Groundwater Sustainability Agencies Proven task or project management experience Excellent technical writing skills and ability to present technical information in group/meeting settings Proficiency with standard analytical approaches and tools Interest in engaging in professional organizations, including presenting at conferences Ability to legally work and reside in the United States Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Compensation range: Monthly Base Pay Range: $10,400 - $14,000 Estimated Annualized Compensation Including Bonuses: $140,400 - $189,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI538956fda1f5-1850
Senior Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time senior hydrogeologist to join our California Team. The position includes senior-level responsibilities and requires the ability to manage and provide technical oversight to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resources professionals, headquartered in Tucson, AZ, has been in business since 1984 and is growing, with recent expansions in the western U.S. and South America. In California, our team comprises 23 professionals located in 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This role offers an exciting opportunity to work with an enthusiastic team of water resource scientists and engineers throughout California and interact with our expert team of modelers and senior professionals in Tucson. Responsibilities Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resources management, including: Implementing SGMA and supporting engineering projects to achieve sustainability Designing and interpreting predictive modeling runs and supporting model updates Developing hydrogeologic conceptual models and water budgets Designing monitoring networks and coordinating field teams to implement monitoring programs Meeting with regulatory agencies and water agencies Evaluating data and preparing technical reports Reviewing technical reports at a senior level Supporting Program Manager and Task Managers in evaluating level of effort and scope of work for new technical efforts Directing, training, and mentoring junior staff Managing relationships with clients and other project stakeholders, including regulatory agencies Preparing technical proposals and work plans for future work Leading business development by building client relationships, identifying opportunities, and contributing to proposals and scopes Qualifications Graduate degree in hydrology, geology, or engineering Strong ability to apply hydrogeologic principles to characterize and assess groundwater systems Familiarity with California water laws and regulations preferred Fifteen or more years of experience in environmental and water resources consulting Professional registration (P.G. or P.E.) Professional experience working with groundwater models Experience working on SGMA projects for Groundwater Sustainability Agencies Proven task or project management experience Excellent technical writing skills and ability to present technical information in group/meeting settings Proficiency with standard analytical approaches and tools Interest in engaging in professional organizations, including presenting at conferences Ability to legally work and reside in the United States Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Compensation range: Monthly Base Pay Range: $10,400 - $14,000 Estimated Annualized Compensation Including Bonuses: $140,400 - $189,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI6e0ca9cf53de-3318
05/01/2026
Full time
Senior Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time senior hydrogeologist to join our California Team. The position includes senior-level responsibilities and requires the ability to manage and provide technical oversight to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resources professionals, headquartered in Tucson, AZ, has been in business since 1984 and is growing, with recent expansions in the western U.S. and South America. In California, our team comprises 23 professionals located in 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This role offers an exciting opportunity to work with an enthusiastic team of water resource scientists and engineers throughout California and interact with our expert team of modelers and senior professionals in Tucson. Responsibilities Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resources management, including: Implementing SGMA and supporting engineering projects to achieve sustainability Designing and interpreting predictive modeling runs and supporting model updates Developing hydrogeologic conceptual models and water budgets Designing monitoring networks and coordinating field teams to implement monitoring programs Meeting with regulatory agencies and water agencies Evaluating data and preparing technical reports Reviewing technical reports at a senior level Supporting Program Manager and Task Managers in evaluating level of effort and scope of work for new technical efforts Directing, training, and mentoring junior staff Managing relationships with clients and other project stakeholders, including regulatory agencies Preparing technical proposals and work plans for future work Leading business development by building client relationships, identifying opportunities, and contributing to proposals and scopes Qualifications Graduate degree in hydrology, geology, or engineering Strong ability to apply hydrogeologic principles to characterize and assess groundwater systems Familiarity with California water laws and regulations preferred Fifteen or more years of experience in environmental and water resources consulting Professional registration (P.G. or P.E.) Professional experience working with groundwater models Experience working on SGMA projects for Groundwater Sustainability Agencies Proven task or project management experience Excellent technical writing skills and ability to present technical information in group/meeting settings Proficiency with standard analytical approaches and tools Interest in engaging in professional organizations, including presenting at conferences Ability to legally work and reside in the United States Benefits include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Compensation range: Monthly Base Pay Range: $10,400 - $14,000 Estimated Annualized Compensation Including Bonuses: $140,400 - $189,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PI6e0ca9cf53de-3318
Project Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time hydrogeologist or groundwater hydrologist to join our California Team. The position includes mid-level responsibilities and requires the ability to manage and provide technical support to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resource professionals, headquartered in Tucson, Arizona, has been in business since 1984 and is growing, with recent expansions in the western United States and South America. In California, our team comprises 24 professional staff across 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This position will support groundwater resource planning and environmental projects throughout California, with a strong emphasis on Northern California and the Central Valley. The role offers an exciting opportunity to work with a dedicated team of water resource scientists and engineers and interact with industry leaders. The position is available in our Sacramento or Oakland location. We currently require staff to work at least 50% in the office to promote collaboration, mentoring, and interacting on project work. Work duties will include: Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resource management, including: Supporting projects planning and implementation of the Sustainable Groundwater Management Act (SGMA) Supporting groundwater remediation activities associated with complex environmental sites, including monitoring program coordination, data evaluation, and reporting Interpretation of lithologic, hydrologic testing, depth-specific water quality, and borehole geophysical data Designing and interpreting results of predictive modeling runs and supporting model updates Evaluating and filling hydrogeologic data gaps Developing hydrogeologic conceptual models Developing water budgets Designing and managing field investigations Interacting with field teams to implement monitoring programs Evaluating data and preparing technical reports Preparing technical proposals and work plans for future work Overseeing work completed by junior staff Assisting project managers with administrative duties on projects Education and Professional Credentials Graduate degree in hydrology, geology, civil engineering, or environmental engineering OR Professional registration (P.G. or P.E.) (Both preferred, but at least one required) Required Qualifications Understanding of groundwater principles Clear understanding of how to apply hydrogeologic principles to characterize and assess groundwater systems Five to 10 years of experience in environmental and water resource consulting Task or project management experience Understanding of SGMA regulatory requirements Strong organizational, troubleshooting, and problem-solving skills, and ability to meet deadlines Proficiency with standard analytical approaches and tools Demonstrated technical writing skills and ability to present technical information in group/meeting settings to peers and clients Team-oriented and experienced with delegating work to staff and reviewing staff deliverables Interest in engaging in professional organizations, including presenting at conferences Preferred Qualifications Working knowledge of geographic information systems (ArcGIS), Survey123, and SQL and Access databases Professional experience working with groundwater models and stratigraphic modeling software Experience working on SGMA implementation projects for local Groundwater Sustainability Agencies Professional experience with groundwater sampling, remedial investigations, and remediation technologies Your benefits at Montgomery & Associates will include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Monthly Base Pay Range: $8,000 - $9,500 Estimated Annualized Compensation Including Bonuses: $108,000 - $128,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PIe7fba0acdf8f-1859
05/01/2026
Full time
Project Hydrogeologist Montgomery & Associates (M&A) is seeking a full-time hydrogeologist or groundwater hydrologist to join our California Team. The position includes mid-level responsibilities and requires the ability to manage and provide technical support to multiple tasks and/or projects simultaneously. The person in this position will interact with M&A team leaders, project staff, project managers, administrative personnel, clients, and regulators. Our company of highly respected water resource professionals, headquartered in Tucson, Arizona, has been in business since 1984 and is growing, with recent expansions in the western United States and South America. In California, our team comprises 24 professional staff across 4 offices: Oakland, Sacramento, Monterey, and Pasadena. This position will support groundwater resource planning and environmental projects throughout California, with a strong emphasis on Northern California and the Central Valley. The role offers an exciting opportunity to work with a dedicated team of water resource scientists and engineers and interact with industry leaders. The position is available in our Sacramento or Oakland location. We currently require staff to work at least 50% in the office to promote collaboration, mentoring, and interacting on project work. Work duties will include: Managing and technically contributing to tasks and projects that focus on quantitative hydrogeology and groundwater resource management, including: Supporting projects planning and implementation of the Sustainable Groundwater Management Act (SGMA) Supporting groundwater remediation activities associated with complex environmental sites, including monitoring program coordination, data evaluation, and reporting Interpretation of lithologic, hydrologic testing, depth-specific water quality, and borehole geophysical data Designing and interpreting results of predictive modeling runs and supporting model updates Evaluating and filling hydrogeologic data gaps Developing hydrogeologic conceptual models Developing water budgets Designing and managing field investigations Interacting with field teams to implement monitoring programs Evaluating data and preparing technical reports Preparing technical proposals and work plans for future work Overseeing work completed by junior staff Assisting project managers with administrative duties on projects Education and Professional Credentials Graduate degree in hydrology, geology, civil engineering, or environmental engineering OR Professional registration (P.G. or P.E.) (Both preferred, but at least one required) Required Qualifications Understanding of groundwater principles Clear understanding of how to apply hydrogeologic principles to characterize and assess groundwater systems Five to 10 years of experience in environmental and water resource consulting Task or project management experience Understanding of SGMA regulatory requirements Strong organizational, troubleshooting, and problem-solving skills, and ability to meet deadlines Proficiency with standard analytical approaches and tools Demonstrated technical writing skills and ability to present technical information in group/meeting settings to peers and clients Team-oriented and experienced with delegating work to staff and reviewing staff deliverables Interest in engaging in professional organizations, including presenting at conferences Preferred Qualifications Working knowledge of geographic information systems (ArcGIS), Survey123, and SQL and Access databases Professional experience working with groundwater models and stratigraphic modeling software Experience working on SGMA implementation projects for local Groundwater Sustainability Agencies Professional experience with groundwater sampling, remedial investigations, and remediation technologies Your benefits at Montgomery & Associates will include: Competitive benefits and salary in an expanding team-oriented company Dynamic work environment with safety and technical training provided by the company Interesting and collaborative multidisciplinary projects On the job mentoring by senior professionals Medical, dental, and vision insurance Flexible Spending Account; HRA Long- and short-term disability Life/AD&D insurance Vacation, holiday, personal, and sick leave Employer matching 401k retirement plan Monthly Base Pay Range: $8,000 - $9,500 Estimated Annualized Compensation Including Bonuses: $108,000 - $128,000 Compensation for qualified extra hours could further increase the estimate above. We are an Equal Opportunity Employer M&A values diversity and inclusivity. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, gender, gender identity, gender expression, age, sexual orientation, religious creed, physical or mental disability, medical condition, genetic information, marital status, veteran status, or any other classification protected by applicable federal, state, or local law. PIe7fba0acdf8f-1859
Who We Are: Institute Quality Systems is a dedicated team of professionals committed to ensuring the effectiveness, efficiency, and compliance of internal processes within our organization. We conduct rigorous internal audits to identify opportunities for enhancement and compliance to international standards. Objectives of this Role: Conduct in-depth quality system audits and assessments ensuring compliance with quality management systems, and applicable standards and regulations to ensure we meet our customer's needs. Support the Department to drive continuous improvement as an Internal Quality System Auditor, identifying areas for enhancement in documentation, procedures, and operational efficiency within a variety of scientific fields. Minimize risks, maintain regulatory compliance, and strengthen the quality culture through meticulous audits and evaluations. Provide valuable insights and recommendations as an Internal Quality System Auditor, contributing to the achievement of highest-quality research outcomes and client satisfaction. Ensure precision, reliability, and adherence to quality standards, fostering trust among clients and stakeholders. Daily and Monthly Responsibilities: Review and assist the Department in planning audits. This involves coordinating with relevant stakeholders, scheduling audits with internal customers, and preparing the necessary documentation and checklists. Conduct on-site audits and surveillances to assess conformity to quality management systems, processes, and product requirements. Perform documentation review, inspections, interviews, and observations to evaluate adherence to established standards and specification. Work to assist in preparing audit reports detailing the findings, observations, and recommendations from audits conducted. Ensure the reports are accurate, well-documented, and delivered to relevant stakeholders in a timely manner. Communicate with audit team and internal stakeholders regarding audit results, corrective actions, and improvement plans. Collaborate with cross-functional teams, such as engineering, and quality assurance and production, to address quality-related issues. Requirements: Requires a Bachelors degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Chemistry or related degree field with relevant experience. Auditor Certification desired. 2-5 years: Process-based auditing experience and/or Quality Engineering experience. 2-5 years: Working under a certified quality management system (such as ISO9001, AS9100, ISO17025, or similar industry or national quality standards). Knowledge of quality, aerospace, and environmental standards preferred. Able to succeed in a group/team environment, as well as in an individual basis. Must be able to travel. Have excellent communication and interpersonal skills. Proficiency in word processing, spreadsheets, and presentation programs. A valid/clear driver's license is required.
05/01/2026
Full time
Who We Are: Institute Quality Systems is a dedicated team of professionals committed to ensuring the effectiveness, efficiency, and compliance of internal processes within our organization. We conduct rigorous internal audits to identify opportunities for enhancement and compliance to international standards. Objectives of this Role: Conduct in-depth quality system audits and assessments ensuring compliance with quality management systems, and applicable standards and regulations to ensure we meet our customer's needs. Support the Department to drive continuous improvement as an Internal Quality System Auditor, identifying areas for enhancement in documentation, procedures, and operational efficiency within a variety of scientific fields. Minimize risks, maintain regulatory compliance, and strengthen the quality culture through meticulous audits and evaluations. Provide valuable insights and recommendations as an Internal Quality System Auditor, contributing to the achievement of highest-quality research outcomes and client satisfaction. Ensure precision, reliability, and adherence to quality standards, fostering trust among clients and stakeholders. Daily and Monthly Responsibilities: Review and assist the Department in planning audits. This involves coordinating with relevant stakeholders, scheduling audits with internal customers, and preparing the necessary documentation and checklists. Conduct on-site audits and surveillances to assess conformity to quality management systems, processes, and product requirements. Perform documentation review, inspections, interviews, and observations to evaluate adherence to established standards and specification. Work to assist in preparing audit reports detailing the findings, observations, and recommendations from audits conducted. Ensure the reports are accurate, well-documented, and delivered to relevant stakeholders in a timely manner. Communicate with audit team and internal stakeholders regarding audit results, corrective actions, and improvement plans. Collaborate with cross-functional teams, such as engineering, and quality assurance and production, to address quality-related issues. Requirements: Requires a Bachelors degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Chemistry or related degree field with relevant experience. Auditor Certification desired. 2-5 years: Process-based auditing experience and/or Quality Engineering experience. 2-5 years: Working under a certified quality management system (such as ISO9001, AS9100, ISO17025, or similar industry or national quality standards). Knowledge of quality, aerospace, and environmental standards preferred. Able to succeed in a group/team environment, as well as in an individual basis. Must be able to travel. Have excellent communication and interpersonal skills. Proficiency in word processing, spreadsheets, and presentation programs. A valid/clear driver's license is required.
