Locations: NY - New York, United States of America, New York, New YorkDistinguished Engineer, Generative AI Systems (Remote-Eligible) Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for Real Time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C+ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $285,400 - $325,700 for Distinguished Machine Learning EngineerRemote (Regardless of Location): $228,300 - $260,600 for Distinguished Machine Learning 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. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 (see below) . 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 (see below) 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).
11/09/2023
Full time
Locations: NY - New York, United States of America, New York, New YorkDistinguished Engineer, Generative AI Systems (Remote-Eligible) Distinguished Engineer, Generative AI Systems Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. 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. We are looking for an experienced Senior Distinguished Engineer, AI Systems, to help us build the foundations of our enterprise AI Capabilities. You will work on a wide range of initiatives, whether that's designing robust, secure infrastructure, building large-scale distributed training clusters, deploying LLMs on GPU instances for Real Time use cases, or supporting cutting-edge AI research and development, all in our public cloud infrastructure. You will work with a team of AI engineers and researchers to envision the target state of our capabilities while helping to design and implement key services. Examples of projects you will work on include: Design and build fault-tolerant infrastructure to support long-running large-scale training tasks reliably despite failure of individual nodes, using containers and check-pointing libraries. Design and build infrastructure for serving large ML models, in our public cloud. Deploy a thousand-node training cluster optimizing storage and networking stack, with tightly coupled training pipelines to take advantage of multiple parallelism strategies, in our public cloud. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs. Design and implement capabilities to support MLOps for foundation models. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML algorithms in Python or C/C+ At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud. Preferred Qualifications: Master's degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the MLOps life cycle from exploration to serving. Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking. Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML. 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. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $285,400 - $325,700 for Distinguished Machine Learning EngineerRemote (Regardless of Location): $228,300 - $260,600 for Distinguished Machine Learning 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. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 (see below) . 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 (see below) 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).
Eaton's Electrical Engineering Services and Systems division is currently seeking a Senior Power System Controls Engineer to join our team. This position is based out of our office in Houston, Grapevine, Austin or San Antonio, Texas. Position does require up to 50% travel. Position Overview: The Senior Power System Controls Engineer will provide field service systems integration engineering and technical consultation for customers in the areas of system design, programming, installation, start up, maintenance, repair, training and modification of automated control systems and power management systems. The Power Systems Controls group is a full-service systems integrator with the capabilities to integrate the necessary equipment and technologies, to provide a complete, power automation solution. This team of engineers and technicians brings extensive skills and experiences with a variety of leading HMI software packages enabling us to design graphically rich, easy-to-use operator interfaces that take advantage of the latest standalone or web-based technologies. Our experience transcends a multitude of equipment manufacturers, software packages, and network architectures, including all major OEMs HMI, PLCs, and components. We offer single point responsibility, a high level of engineering and systems integration expertise, and a unified focus on cost effective solutions, seamless integration, HMI development, energy management tools, and professional turnkey system design and implementation. Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each and every day. It's where bold, bright professionals like you can reach your full potential-and where you can help us reach ours. In this function, you will: Technical Responsibilities: Prepare submittal documentation for projects and meet with customers to discuss project requirements and review submittals. Follow customers specifications and internal specifications for project implementation Program Programmable Logic Controllers (PLC's) for the following applications, but not limited to Simple Automatic Transfer Controls between two sources (e.g. Main-Tie-Main, Main-Gen) Complex Automatic Transfer controls between multiple sources (e.g. Main-Tie-Gen-Tie-Main, Main-Gen-Tie-Gen-Main) Paralleling Switchgear Applications Write and deploy complex power and control schemes including load shedding/ peak shaving schemes utilizing multiple distributed energy resources, Microgrid operations, breaker control schemes, SCADA system development. Ensure projects have proper controls, metering and monitoring. Controls include Power meters, automation equipment (PLC/HMI), protective relays, load sharing, synchronization, etc. Select components and create bill of materials. Provide sketches, mark-ups and direction to Electrical Designers to develop project drawings. Review and approve project drawings. You may also be responsible for completing the CAD drawings. Write operating sequences and instruction manuals. Assist with factory testing and field start-ups as required. Be responsible for working with test equipment and diagnostic instruments for automation and power management systems. Be able to troubleshoot systems that are not functioning properly. Be expected to work with relay logic. Knowledge of digital multifunction relays for genset protection and utility requirements. GE Multilin Schweitzer Engineering Laboratories. Eaton E-series Programmable Logic Controller experience with the following manufactures: Eaton Emerson/GE Schneider Modicon Rockwell Automation HMI/SCADA Experience with the following manufactures: Wonderware InTouch GE Cimplicity Eaton Visual Designer Rockwell Automation Factory Talk View Capable of programming in SQL, Visual Basic, C, C++, C#, or equivalent Manage Networking Individual Responsibilities: Functional Self-Management: Work with minimal supervision, manage own time effectively, and maintain control over all current projects/responsibilities. You will receive general direction but exercise discretion as to personal work details. Plan and execute as needed to accomplish assigned individual tasks to meet expectations (cost, quality, delivery). Assume responsibility of all assigned work. Work as a member of a project team, maintain project schedule, attend project meetings, and keep project manager informed of status, and complete required project metrics and design documentation. Understand all parts of larger projects. Commercial Responsibilities: Provide technical support to Manufacturing and Sales Departments. Quote general turnkey controls schemes (analyze specifications, price all applicable labor and materials, write a proposed scope of work, etc.). When we embrace the different ideas, perspectives and backgrounds that make each of us unique, we - as individuals and as a company - are stronger. Qualifications Required (Basic) Qualifications: Bachelor's Degree in engineering from an accredited institution Minimum of 3 years of power system industry experience Legally authorized to work in the United States without company sponsorship No relocation benefit is being offered for this position. Only candidates within a 50-mile radius of the locations will be considered. Preferred qualifications: PE License. Knowledge of SCADA systems and associated protocols (Modbus, DNP3, IEC-61850) Position Success Criteria: Possess and maintains an active and valid driver's license Available for travel & mobility 50% of time Strong customer focus and interpersonal skills Develop and maintain strong customer relationships Advise customers on technical opportunities/issues 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. We make what matters work. Everywhere you look-from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day-you'll find one thing in common. It all relies on power. That's why Eaton is dedicated to improving people's lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. We're ethical, passionate, accountable, efficient, transparent and we're committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters. Job: Engineering Region: North America - US/Puerto Rico Organization: ESSG EESSD Electrical Engrg Svcs Systems Div Job Level: Individual Contributor Schedule: Full-time Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: Yes Does this position offer relocation?: No Travel: Yes, 50 % of the Time
10/02/2020
Full time
Eaton's Electrical Engineering Services and Systems division is currently seeking a Senior Power System Controls Engineer to join our team. This position is based out of our office in Houston, Grapevine, Austin or San Antonio, Texas. Position does require up to 50% travel. Position Overview: The Senior Power System Controls Engineer will provide field service systems integration engineering and technical consultation for customers in the areas of system design, programming, installation, start up, maintenance, repair, training and modification of automated control systems and power management systems. The Power Systems Controls group is a full-service systems integrator with the capabilities to integrate the necessary equipment and technologies, to provide a complete, power automation solution. This team of engineers and technicians brings extensive skills and experiences with a variety of leading HMI software packages enabling us to design graphically rich, easy-to-use operator interfaces that take advantage of the latest standalone or web-based technologies. Our experience transcends a multitude of equipment manufacturers, software packages, and network architectures, including all major OEMs HMI, PLCs, and components. We offer single point responsibility, a high level of engineering and systems integration expertise, and a unified focus on cost effective solutions, seamless integration, HMI development, energy management tools, and professional turnkey system design and implementation. Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each and every day. It's where bold, bright professionals like you can reach your full potential-and where you can help us reach ours. In this function, you will: Technical Responsibilities: Prepare submittal documentation for projects and meet with customers to discuss project requirements and review submittals. Follow customers specifications and internal specifications for project implementation Program Programmable Logic Controllers (PLC's) for the following applications, but not limited to Simple Automatic Transfer Controls between two sources (e.g. Main-Tie-Main, Main-Gen) Complex Automatic Transfer controls between multiple sources (e.g. Main-Tie-Gen-Tie-Main, Main-Gen-Tie-Gen-Main) Paralleling Switchgear Applications Write and deploy complex power and control schemes including load shedding/ peak shaving schemes utilizing multiple distributed energy resources, Microgrid operations, breaker control schemes, SCADA system development. Ensure projects have proper controls, metering and monitoring. Controls include Power meters, automation equipment (PLC/HMI), protective relays, load sharing, synchronization, etc. Select components and create bill of materials. Provide sketches, mark-ups and direction to Electrical Designers to develop project drawings. Review and approve project drawings. You may also be responsible for completing the CAD drawings. Write operating sequences and instruction manuals. Assist with factory testing and field start-ups as required. Be responsible for working with test equipment and diagnostic instruments for automation and power management systems. Be able to troubleshoot systems that are not functioning properly. Be expected to work with relay logic. Knowledge of digital multifunction relays for genset protection and utility requirements. GE Multilin Schweitzer Engineering Laboratories. Eaton E-series Programmable Logic Controller experience with the following manufactures: Eaton Emerson/GE Schneider Modicon Rockwell Automation HMI/SCADA Experience with the following manufactures: Wonderware InTouch GE Cimplicity Eaton Visual Designer Rockwell Automation Factory Talk View Capable of programming in SQL, Visual Basic, C, C++, C#, or equivalent Manage Networking Individual Responsibilities: Functional Self-Management: Work with minimal supervision, manage own time effectively, and maintain control over all current projects/responsibilities. You will receive general direction but exercise discretion as to personal work details. Plan and execute as needed to accomplish assigned individual tasks to meet expectations (cost, quality, delivery). Assume responsibility of all assigned work. Work as a member of a project team, maintain project schedule, attend project meetings, and keep project manager informed of status, and complete required project metrics and design documentation. Understand all parts of larger projects. Commercial Responsibilities: Provide technical support to Manufacturing and Sales Departments. Quote general turnkey controls schemes (analyze specifications, price all applicable labor and materials, write a proposed scope of work, etc.). When we embrace the different ideas, perspectives and backgrounds that make each of us unique, we - as individuals and as a company - are stronger. Qualifications Required (Basic) Qualifications: Bachelor's Degree in engineering from an accredited institution Minimum of 3 years of power system industry experience Legally authorized to work in the United States without company sponsorship No relocation benefit is being offered for this position. Only candidates within a 50-mile radius of the locations will be considered. Preferred qualifications: PE License. Knowledge of SCADA systems and associated protocols (Modbus, DNP3, IEC-61850) Position Success Criteria: Possess and maintains an active and valid driver's license Available for travel & mobility 50% of time Strong customer focus and interpersonal skills Develop and maintain strong customer relationships Advise customers on technical opportunities/issues 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. We make what matters work. Everywhere you look-from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day-you'll find one thing in common. It all relies on power. That's why Eaton is dedicated to improving people's lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. We're ethical, passionate, accountable, efficient, transparent and we're committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters. Job: Engineering Region: North America - US/Puerto Rico Organization: ESSG EESSD Electrical Engrg Svcs Systems Div Job Level: Individual Contributor Schedule: Full-time Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: Yes Does this position offer relocation?: No Travel: Yes, 50 % of the Time
This position is 100% remote. We are once again supporting a fast-growing company in Austin who is looking to bring a talented Senior Software Engineer onto the team. They offer an innovative retail solution; an alternative to shopping through websites and apps and streamlines the process of finding the right product to fit a consumer's needs. They believe their solutions are the future of the mobile & ecommerce market place both for B2B and B2C transactions. Reporting directly to the CTO, this Senior Software Engineer will be developing the technology that scales its product offering, and the company overall. The solutions you will create will allow the company to engage with users through effective and personalized channels that utilize AI and language models informed by their adaptable database. All of this, of course, coupled with a flawless user experience, with the goal of ultimately offering a "zero friction" solution for allowing users to find the exact products they need. This person will be central to building new web services, building backend real-time event-driven APIs and services using Node.js and/or Python and/or Ruby, designing and implementing API methods, system improvements, and collaborating directly with the CTO, Data Engineers, and AI/ML experts. driving the creation of the technology that rapidly scales our product and organization. As we are building and scaling our messaging architecture, we are aiming at zero friction user experience for our customers. The solutions you will create will allow us to engage with users through highly optimized and personalized channels that utilize AI and language models informed by our conversational database. You will have the opportunity to build a team of backend, data, and ML engineers to design architecture that will be the standard of future commerce messaging systems. You will be central to building new web services, designing and implementing API methods, and improving the performance and reliability of our systems, while working closely with the CTO, data engineers, and AI/ML experts. You will be working within our current system built on Node.js, Vue.js, and MySQL so expertise in these areas is desired, but experience with other common web languages (such as Python or Ruby) and NoSQL databases is also a huge plus. We are looking for someone that understands that simplicity and reliability are aspects of a system to be carefully calculated with every decision made. This will be of interest if you: Are interested in building high-performance data pipelines, analytics, and data integration Have a passion for cloud engineering Are interested in building Machine Learning and Artificial Intelligence solutions, and learning from ML & AI pros Love building scalable solutions and dealing with challenging Back End issues Thrive working across teams and enjoy collaboration with leadership, product, and design teams Have the ability to analyze and optimize efficiencies in high-traffic applications Passion for designing intuitive, real-time APIs Experience and skills you bring: Professional experience in cloud engineering (especially ====P at large-scale) Experience building, testing, and deploying REST APIs Deep knowledge of real-time messaging service platforms Experience with Node.js, Vue.js, MySQL, and NoSQL (Python and/or Ruby experience would be a huge plus) You possess strong computer science generalist fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval Experience with functional or imperative programming languages - e.g., PHP, Python or Golang Any experience with mobile messaging apps, chatbots, high-velocity data systems, AI, ML would be a huge plus as well Benefits A fully remote position Equity options in addition to your salary Full health benefits package - provided by Dice
09/29/2020
Full time
This position is 100% remote. We are once again supporting a fast-growing company in Austin who is looking to bring a talented Senior Software Engineer onto the team. They offer an innovative retail solution; an alternative to shopping through websites and apps and streamlines the process of finding the right product to fit a consumer's needs. They believe their solutions are the future of the mobile & ecommerce market place both for B2B and B2C transactions. Reporting directly to the CTO, this Senior Software Engineer will be developing the technology that scales its product offering, and the company overall. The solutions you will create will allow the company to engage with users through effective and personalized channels that utilize AI and language models informed by their adaptable database. All of this, of course, coupled with a flawless user experience, with the goal of ultimately offering a "zero friction" solution for allowing users to find the exact products they need. This person will be central to building new web services, building backend real-time event-driven APIs and services using Node.js and/or Python and/or Ruby, designing and implementing API methods, system improvements, and collaborating directly with the CTO, Data Engineers, and AI/ML experts. driving the creation of the technology that rapidly scales our product and organization. As we are building and scaling our messaging architecture, we are aiming at zero friction user experience for our customers. The solutions you will create will allow us to engage with users through highly optimized and personalized channels that utilize AI and language models informed by our conversational database. You will have the opportunity to build a team of backend, data, and ML engineers to design architecture that will be the standard of future commerce messaging systems. You will be central to building new web services, designing and implementing API methods, and improving the performance and reliability of our systems, while working closely with the CTO, data engineers, and AI/ML experts. You will be working within our current system built on Node.js, Vue.js, and MySQL so expertise in these areas is desired, but experience with other common web languages (such as Python or Ruby) and NoSQL databases is also a huge plus. We are looking for someone that understands that simplicity and reliability are aspects of a system to be carefully calculated with every decision made. This will be of interest if you: Are interested in building high-performance data pipelines, analytics, and data integration Have a passion for cloud engineering Are interested in building Machine Learning and Artificial Intelligence solutions, and learning from ML & AI pros Love building scalable solutions and dealing with challenging Back End issues Thrive working across teams and enjoy collaboration with leadership, product, and design teams Have the ability to analyze and optimize efficiencies in high-traffic applications Passion for designing intuitive, real-time APIs Experience and skills you bring: Professional experience in cloud engineering (especially ====P at large-scale) Experience building, testing, and deploying REST APIs Deep knowledge of real-time messaging service platforms Experience with Node.js, Vue.js, MySQL, and NoSQL (Python and/or Ruby experience would be a huge plus) You possess strong computer science generalist fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval Experience with functional or imperative programming languages - e.g., PHP, Python or Golang Any experience with mobile messaging apps, chatbots, high-velocity data systems, AI, ML would be a huge plus as well Benefits A fully remote position Equity options in addition to your salary Full health benefits package - provided by Dice
Please send resume in Word format if you are interested in this Healthcare Data Economist opportunity in Deerfield, IL (100% REMOTE!!!). This is a full-time opportunity with Salary of $115K - $125K + Benefits + Bonus (wiggle room for candidate with AI/Machine Learning experience). The ideal candidate will come from Healthcare Space, Payor, PBM, or Managed Care Space. · Extensive experience analyzing trends, understanding trend drivers, i.e., rising preference for home care; taking those trends and creating actionable models, as well as, utilizing trend information to identify opportunities and build out better logic. · Claims data experience is required. · Experience creating dashboards is required, not regression models, but dynamic dashboards. 3 years' plus experience highly preferred. · Ability to consult on data and trends is required; ability to relay high-level overview to Senior Management. · Need a critical thinker who is able to understand how to manipulate data, identify trends, and create actionable insights! Perform critical research and investigation of key business problems for the development of predictive and outcomes models that measure results. Develop and improve quantitative data analytics and set performance targets for the business utilizing economic/statistical approaches in conjunction with AI/ML. Job Responsibilities (listed in order of importance and/or time spent) Identify, develop, and suggest methodology for building all aspects of analytics models including scope of work, model process diagram, methodology, decision tree and business requirements, modeling deliverables and timeline, and user inputs/outputs. Utilize descriptive and predictive statistical techniques to measure impact of various actions/studies, internal and external, develop sampling and hypothesis testing to help the organization determine outcomes, and forecast and predict future behaviors that explain key findings. Select several potential appropriate modeling approaches for a given analytic problem (decision trees; operations research; statistical modeling such as multivariate techniques). Review data for pattern identification, special cause variation, trend analysis, or other techniques that will reveal intelligence for identification of any associative or causal relationships and provide recommendations for model development. Apply understanding of the underlying statistical concepts and computational approaches that enable efficient execution of models and design and implement modifications and enhancements to the computations. Design and automate visually dynamic dashboards in Power BI and other analytical tools. This includes collaborating with internal BI team to understand the technology platform for automation. In addition, insure a streamlined handoff process for release in production. Collaborate with analytic, data engineering, business and clinical partners to deploy advanced analytic solutions into the operational environments. Manage deliverables across multiple projects in a deadline-driven environment and project related to a wide variety of business settings and clinical needs. Apply innovative approaches to understand and predict what will happen across the business. Develop and create clinical program case studies at a book of business level. Study client data to identify emerging trends and recommend solutions for programs based on analytical findings. Study trend assumptions that will be incorporated into forecasting and outcomes modeling by applying a statistical approach. EDUCATION AND REQUIREMENTS Master's Degree in public health, mathematics, statistics, experimental psychology, epidemiology, health economics HIGHLY PREFERRED, but, not 100% required. Bachelor's is 100% required. Between 1-3 years of professional post-graduate experience in constructing, validating, and executing modeling and optimization solutions. Between 1-3 years of professional post graduate experience in PBM, payor, managed care and healthcare space A minimum of 3 years of highly advanced Microsoft SQL, R, Python, SAS EG/Proc SQL, SPSS, PowerBI, Tableau (all statistical data mining tools), Excel, Visio, and PowerPoint experience Experience with statistical analyses, predictive analytics, and modeling techniques such as multivariate regression, logistic regression, forecasting and time series models Basic Qualifications Experience in translating business problems across disciplines into advanced analytic projects with measurable business value. Experience with theoretical modeling approaches and matching analytic modeling approaches to a wide range of business applications Proven application of data mining tools and concepts including structured and unstructured data Proven understanding of relational databases and experience with large data sets Proficiency in graphic development and presentation Ability to critically think, listen and excellent verbal and communication skills Ability to work independently on various high-level projects and within a team environment Extensive knowledge of pharmacy and managed care claims and data coding (NCPDP, GPI, NDC, HCPCS, ICD9/10, DRG and revenue codes) Preferred Qualifications & Interests (PQIs) PhD in statistical, mathematical or health economic studies - provided by Dice
09/28/2020
Full time
Please send resume in Word format if you are interested in this Healthcare Data Economist opportunity in Deerfield, IL (100% REMOTE!!!). This is a full-time opportunity with Salary of $115K - $125K + Benefits + Bonus (wiggle room for candidate with AI/Machine Learning experience). The ideal candidate will come from Healthcare Space, Payor, PBM, or Managed Care Space. · Extensive experience analyzing trends, understanding trend drivers, i.e., rising preference for home care; taking those trends and creating actionable models, as well as, utilizing trend information to identify opportunities and build out better logic. · Claims data experience is required. · Experience creating dashboards is required, not regression models, but dynamic dashboards. 3 years' plus experience highly preferred. · Ability to consult on data and trends is required; ability to relay high-level overview to Senior Management. · Need a critical thinker who is able to understand how to manipulate data, identify trends, and create actionable insights! Perform critical research and investigation of key business problems for the development of predictive and outcomes models that measure results. Develop and improve quantitative data analytics and set performance targets for the business utilizing economic/statistical approaches in conjunction with AI/ML. Job Responsibilities (listed in order of importance and/or time spent) Identify, develop, and suggest methodology for building all aspects of analytics models including scope of work, model process diagram, methodology, decision tree and business requirements, modeling deliverables and timeline, and user inputs/outputs. Utilize descriptive and predictive statistical techniques to measure impact of various actions/studies, internal and external, develop sampling and hypothesis testing to help the organization determine outcomes, and forecast and predict future behaviors that explain key findings. Select several potential appropriate modeling approaches for a given analytic problem (decision trees; operations research; statistical modeling such as multivariate techniques). Review data for pattern identification, special cause variation, trend analysis, or other techniques that will reveal intelligence for identification of any associative or causal relationships and provide recommendations for model development. Apply understanding of the underlying statistical concepts and computational approaches that enable efficient execution of models and design and implement modifications and enhancements to the computations. Design and automate visually dynamic dashboards in Power BI and other analytical tools. This includes collaborating with internal BI team to understand the technology platform for automation. In addition, insure a streamlined handoff process for release in production. Collaborate with analytic, data engineering, business and clinical partners to deploy advanced analytic solutions into the operational environments. Manage deliverables across multiple projects in a deadline-driven environment and project related to a wide variety of business settings and clinical needs. Apply innovative approaches to understand and predict what will happen across the business. Develop and create clinical program case studies at a book of business level. Study client data to identify emerging trends and recommend solutions for programs based on analytical findings. Study trend assumptions that will be incorporated into forecasting and outcomes modeling by applying a statistical approach. EDUCATION AND REQUIREMENTS Master's Degree in public health, mathematics, statistics, experimental psychology, epidemiology, health economics HIGHLY PREFERRED, but, not 100% required. Bachelor's is 100% required. Between 1-3 years of professional post-graduate experience in constructing, validating, and executing modeling and optimization solutions. Between 1-3 years of professional post graduate experience in PBM, payor, managed care and healthcare space A minimum of 3 years of highly advanced Microsoft SQL, R, Python, SAS EG/Proc SQL, SPSS, PowerBI, Tableau (all statistical data mining tools), Excel, Visio, and PowerPoint experience Experience with statistical analyses, predictive analytics, and modeling techniques such as multivariate regression, logistic regression, forecasting and time series models Basic Qualifications Experience in translating business problems across disciplines into advanced analytic projects with measurable business value. Experience with theoretical modeling approaches and matching analytic modeling approaches to a wide range of business applications Proven application of data mining tools and concepts including structured and unstructured data Proven understanding of relational databases and experience with large data sets Proficiency in graphic development and presentation Ability to critically think, listen and excellent verbal and communication skills Ability to work independently on various high-level projects and within a team environment Extensive knowledge of pharmacy and managed care claims and data coding (NCPDP, GPI, NDC, HCPCS, ICD9/10, DRG and revenue codes) Preferred Qualifications & Interests (PQIs) PhD in statistical, mathematical or health economic studies - provided by Dice