Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
04/24/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
04/24/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
04/24/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
04/24/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
04/24/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
Looking for a MT/MLS job? My name is Leah and I'm a healthcare recruiter, I'm here to help! I have a new Certified Medical Laboratory Scientist I position available near Hallam, Pennsylvania ! Details - Full-time and permanent - Shift: Evenings 3:00pm - 11:00pm OR Days OR Nights - Opportunities for growth - Full, comprehensive benefits package (PTO, health insurance, life insurance, 401k, etc) Job Summary - Under the general supervision of the Laboratory Team Leader or Manager, performs a variety of technical and general duties at a basic skills and knowledge level. Functions in one or more laboratory divisions. Duties - Performs routine and/or specialized testing and procedures with supervision as appropriate. - Performs a variety of duties at progressively greater skill levels under varying degrees of supervision; records results. May operate a variety of laboratory instruments. - Performs quality control and instrument check procedures and maintains related records. - Inoculates, cultivates, classifies, and identifies microorganisms found in bodily fluids, exudates, skin scrapings, autopsy and surgical specimens in order to provide data on cause, treatment, and prevention of infectious diseases. - May group or type blood of donors and recipients. May determine compatibility of donor blood products with intended recipient. - May perform chemical and/or immunological tests to identify and/or quantitate substances found in blood and other body fluids. - Counts, describes morphology of, and performs specialized studies on blood and other body fluid cells. Performs coagulation testing. - Prepares and maintains reagents, and other solutions and stains according to standard formulas. - Trains other employees in day-to-day procedures. - May consult with medical staff and other health care providers on matters relating to laboratory services. - Performs surveys and does comparative analyses of work units; may participate in research activities and investigates new products, equipment, techniques, methodologies, and introduces, demonstrates, effects, and recommends as is appropriate. - Enters or retrieves data from established computer files. - Identifies safety concerns, instrument issues and other opportunities for process improvement, collaborating with others in problem-solving Requirements - Prior lab experience and knowledge (completion of student clinical rotations) - ASCP certification (eligible/willing to obtain accepted) - BS degree required Click apply or email your resume to / call or text ! You can also schedule a time to chat here - . REF
04/24/2024
Full time
Looking for a MT/MLS job? My name is Leah and I'm a healthcare recruiter, I'm here to help! I have a new Certified Medical Laboratory Scientist I position available near Hallam, Pennsylvania ! Details - Full-time and permanent - Shift: Evenings 3:00pm - 11:00pm OR Days OR Nights - Opportunities for growth - Full, comprehensive benefits package (PTO, health insurance, life insurance, 401k, etc) Job Summary - Under the general supervision of the Laboratory Team Leader or Manager, performs a variety of technical and general duties at a basic skills and knowledge level. Functions in one or more laboratory divisions. Duties - Performs routine and/or specialized testing and procedures with supervision as appropriate. - Performs a variety of duties at progressively greater skill levels under varying degrees of supervision; records results. May operate a variety of laboratory instruments. - Performs quality control and instrument check procedures and maintains related records. - Inoculates, cultivates, classifies, and identifies microorganisms found in bodily fluids, exudates, skin scrapings, autopsy and surgical specimens in order to provide data on cause, treatment, and prevention of infectious diseases. - May group or type blood of donors and recipients. May determine compatibility of donor blood products with intended recipient. - May perform chemical and/or immunological tests to identify and/or quantitate substances found in blood and other body fluids. - Counts, describes morphology of, and performs specialized studies on blood and other body fluid cells. Performs coagulation testing. - Prepares and maintains reagents, and other solutions and stains according to standard formulas. - Trains other employees in day-to-day procedures. - May consult with medical staff and other health care providers on matters relating to laboratory services. - Performs surveys and does comparative analyses of work units; may participate in research activities and investigates new products, equipment, techniques, methodologies, and introduces, demonstrates, effects, and recommends as is appropriate. - Enters or retrieves data from established computer files. - Identifies safety concerns, instrument issues and other opportunities for process improvement, collaborating with others in problem-solving Requirements - Prior lab experience and knowledge (completion of student clinical rotations) - ASCP certification (eligible/willing to obtain accepted) - BS degree required Click apply or email your resume to / call or text ! You can also schedule a time to chat here - . REF
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
04/24/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
04/24/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
04/24/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
04/24/2024
Full time
Center 1 (19052), United States of America, McLean, Virginia Senior Manager, Technical Program Manager - Machine Learning Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? At Capital One, we believe that Machine Learning (ML) represents the biggest opportunity in financial services today, and is a chance to revolutionize the industry. Capital One's commitment to Machine Learning has sponsorship from the CEO, the Board of Directors, and the executive committee of the company. The Machine Learning Experience (MLX) org is at the heart of this effort, and is leading the way in building and delivering platforms, intelligent customer experiences that supercharge responsible ML across Capital One. As a Senior Manager of Technical Program Management (TPM) on Capital One's Enterprise Machine Learning team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc. Manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: At least 5 years of experience managing technical programs Bachelor's degree Preferred Qualifications: 5+ years of experience designing and building data-intensive solutions using distributed computing 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS 3+ years experience building highly scalable mobile products & platforms 3+ years of experience with Agile delivery 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact 4+ years of technical program management experience 2+ years of Machine Learning experience Experience in building systems & solutions within a highly regulated environment Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) PMP, Lean, Agile, or Six Sigma certification At this time, Capital One will not sponsor a new 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): $199,100 - $227,200 for Sr. Manager, Technical Program Management San Francisco, California (Hybrid On-Site): $210,900 - $240,700 for Sr. Manager, Technical Program Management 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 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 . 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).
Clinical Lab (Full-time, Varied Shift) Job Summary: The Clinical Lab Scientist 1, under general supervision, operates specialized instruments to conduct clinical lab tests and analyze data from results, to assist physicians with diagnosing medical conditions. The position is a clinical license position and a journey level classification in the Clinical Lab Scientist classification series. Performs other duties as needed. Education and Experience: Bachelor s Degree in the life sciences or an equivalent field of study required. Two years of experience working as a clinical laboratory scientist (CLS) in a medical laboratory preferred. Knowledge and Skills: Knowledge of medical lab standard operating procedures, types of software used, and equipment. Ability to perform basic clinical lab tests and interpret and analyze data, to determine the clinical significance of test results. Able to use and maintain specialized lab equipment needed to perform all lab procedures. Must be able to articulate logical and well -founded arguments that support conclusions, and exhibit excellent dexterity and analytical skills. Able to: read; write legibly; speak in English with professional quality; use computer and software programs necessary to the position; troubleshoot and calibrate patient care equipment. Able to relate and communicate positively, effectively, and professionally with others; be assertive and consistent in following and/or enforcing policies; work calmly and respond courteously when under pressure; lead, supervise, teach, and collaborate; accept direction. Able to communicate effectively in English in person, in writing, and on the telephone; think critically; work independently with minimal supervision; perform basic math functions; manage multiple assignments effectively; work well under pressure; problem solve; organize and prioritize workload; recall information with accuracy; pay close attention to detail. Able to distinguish colors and smells as necessary for patient care; hear sufficiently for general conversation in person and on the telephone; identify and distinguish various sounds associated with the work place/patient care; see adequately to read computer screens, medical records, and written documents necessary to position; discern temperature variances through touch. Licensures and Certifications: California Clinical Laboratory Scientist (CLS) License required. American Medical Technologist (AMT) Certification, or American Society for Clinical Pathology (ASCP) certification preferred.
04/24/2024
Full time
Clinical Lab (Full-time, Varied Shift) Job Summary: The Clinical Lab Scientist 1, under general supervision, operates specialized instruments to conduct clinical lab tests and analyze data from results, to assist physicians with diagnosing medical conditions. The position is a clinical license position and a journey level classification in the Clinical Lab Scientist classification series. Performs other duties as needed. Education and Experience: Bachelor s Degree in the life sciences or an equivalent field of study required. Two years of experience working as a clinical laboratory scientist (CLS) in a medical laboratory preferred. Knowledge and Skills: Knowledge of medical lab standard operating procedures, types of software used, and equipment. Ability to perform basic clinical lab tests and interpret and analyze data, to determine the clinical significance of test results. Able to use and maintain specialized lab equipment needed to perform all lab procedures. Must be able to articulate logical and well -founded arguments that support conclusions, and exhibit excellent dexterity and analytical skills. Able to: read; write legibly; speak in English with professional quality; use computer and software programs necessary to the position; troubleshoot and calibrate patient care equipment. Able to relate and communicate positively, effectively, and professionally with others; be assertive and consistent in following and/or enforcing policies; work calmly and respond courteously when under pressure; lead, supervise, teach, and collaborate; accept direction. Able to communicate effectively in English in person, in writing, and on the telephone; think critically; work independently with minimal supervision; perform basic math functions; manage multiple assignments effectively; work well under pressure; problem solve; organize and prioritize workload; recall information with accuracy; pay close attention to detail. Able to distinguish colors and smells as necessary for patient care; hear sufficiently for general conversation in person and on the telephone; identify and distinguish various sounds associated with the work place/patient care; see adequately to read computer screens, medical records, and written documents necessary to position; discern temperature variances through touch. Licensures and Certifications: California Clinical Laboratory Scientist (CLS) License required. American Medical Technologist (AMT) Certification, or American Society for Clinical Pathology (ASCP) certification preferred.
Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization. Requires strong statistical and data visualization skills. Applies basic engineering concepts when analyzing data to create tools to drive efficiency. Basic Qualifications: 0 years experience with Bachelors in Science; 0 Years with Masters. Ability to obtain a DoD Secret clearance and Special Program Access. Strong understanding of JavaScript, SQL, Python, Tableau, and AzureDevOps. Knowledge of data gathering, cleansing and transformation techniques. Understanding of Agile Software Development. Understanding of Mechanical Engineering Concepts/Theory and Production Operations. Knowledge of databases (SQL Server, AWS Databases (DynamoDB, RDS, or similar and schema. Ability to travel 10% of the time between Palmdale and Redondo Beach. Preferred Qualifications: Bachelor's Degree in Mechanical or Aerospace Engineering/Computer Science. Hands-on experience with core Python data science tools (Numpy, Pandas, Matplotlib, SciKit-Learn, etc.) Hands-on experience with deep learning libraries (TensorFlow, PyTorch, etc.) Experience with anomaly detection and synthetic data strategies for machine learning. Data engineering skillsets. Experience with computer vision (CNN, Transformer architectures) and image/video data preparation for machine learning. Hands-on experience with time series analysis and sequence modeling. Experience with Cloud environments (Azure, AWS-SageMaker, S3, etc.) Hands-on experience with sensor deployments (IoT sensors) and automating data collection and processing in industrial settings. Experience with dashboarding frameworks (Plotly Dash, Panel, Streamlit, Tableau, etc.) Agile development.
04/24/2024
Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may have many applications such as to address a business issue or provide a competitive advantage for the organization. Requires strong statistical and data visualization skills. Applies basic engineering concepts when analyzing data to create tools to drive efficiency. Basic Qualifications: 0 years experience with Bachelors in Science; 0 Years with Masters. Ability to obtain a DoD Secret clearance and Special Program Access. Strong understanding of JavaScript, SQL, Python, Tableau, and AzureDevOps. Knowledge of data gathering, cleansing and transformation techniques. Understanding of Agile Software Development. Understanding of Mechanical Engineering Concepts/Theory and Production Operations. Knowledge of databases (SQL Server, AWS Databases (DynamoDB, RDS, or similar and schema. Ability to travel 10% of the time between Palmdale and Redondo Beach. Preferred Qualifications: Bachelor's Degree in Mechanical or Aerospace Engineering/Computer Science. Hands-on experience with core Python data science tools (Numpy, Pandas, Matplotlib, SciKit-Learn, etc.) Hands-on experience with deep learning libraries (TensorFlow, PyTorch, etc.) Experience with anomaly detection and synthetic data strategies for machine learning. Data engineering skillsets. Experience with computer vision (CNN, Transformer architectures) and image/video data preparation for machine learning. Hands-on experience with time series analysis and sequence modeling. Experience with Cloud environments (Azure, AWS-SageMaker, S3, etc.) Hands-on experience with sensor deployments (IoT sensors) and automating data collection and processing in industrial settings. Experience with dashboarding frameworks (Plotly Dash, Panel, Streamlit, Tableau, etc.) Agile development.
About the company At Swift Solar, we're building the future of solar. We believe that solar energy has vast untapped potential to reduce inequity and protect planetary health in the face of global climate change. We believe that today's solar technology is good but not good enough. And we believe that what we build today should serve humanity forever. Swift's perovskite tandem technology breaks through the performance limits of existing solar technologies. By making solar better-more efficient, more affordable, and more widely accessible-we are helping to create a world where all energy is clean energy. Swift Solar is a mission-focused startup funded by committed investors. We know it's a long journey to take a new clean energy technology to market, and we're in it for the long haul together. If you join us, you'll play a meaningful role in taking Swift's impact to the next level. A day in the life As a Mechatronics Engineer at Swift, you will help us build and maintain a state-of-the-art engineering infrastructure to streamline our solar cell R&D and production processes. Your main responsibility will be to design, build, install, and maintain our automated characterization and metrology systems. You'll assist with the project based work by planning timelines and resources as well as leading hardware and software development and integration with our current data and process systems. You will work closely with our internal engineering team and with external engineering contractors and tool suppliers. On a typical day, you might work on improvements to the team's stability systems using your skills in circuit analysis and EDA/CAD software to design robust and accurate systems for scientists to run experiments on. You'll leverage your project planning skills to see your designs through from conception to assembly and implementation. Your proficiency in rapid prototyping will enable you to assemble circuit boards and enclosures to validate your designs. You might need to pause your work to help solve a new important issue with one of our characterization tools, enabling teammates to continue their work productively. As an early hire, you'll help craft Swift's culture. In this role you'll be interacting with every part of the company, which will naturally lead to many opportunities to grow your own skills and responsibilities. We encourage you to take full advantage of these opportunities. You might be a good fit if you Have hands-on experience in analog and digital circuit design, simulation, assembly and testing with specifics in analog measurements and noise isolation Have extensive experience in embedded systems (Arduino, Raspberry Pi, ESP32, etc.) Have experience in hardware/software system implementation with programming experience in C++, Python, Java, or other languages with hardware interfacing libraries Have experience implementing user-friendly interfaces (GUI, HMI, etc.) Have a maker mentality that allows you to prototype quickly while also producing robust systems that sustain through heavy use and have well-documented construction and troubleshooting guidelines Thrive in an environment with rapid changes in focus Take initiative to tackle problems you see around you, even if it's not your job A strong candidate might bring one or more of the following Experience in rapid prototyping, including simple 3D CAD work (SolidWorks or similar), fixture and enclosure T-slots, 3D printing, laser/waterjet cutting, CNC machining Past contributions to hardware open source projects Experience with PLC programming on Beckhoff (Twincat), Siemens, Omron, Aveva (Indusoft/Wonderware) or similar systems Automation experience in a manufacturing environment and for laboratory equipment Deep motivation to make an impact on climate change The logistics Compensation: Competitive package including salary, equity, and benefits Expected Pay Range: $100,000-$130,000 per year Ideal start date: February - April 2024 Job type: Full-time Location: San Carlos, CA (Swift Solar HQ) What you'll love about Swift Culture : We live by our values. You'll feel right at home if you want to serve the future, get better every day, respect your colleagues, and have fun. Health benefits : We cover 100% of monthly premiums for HMO and PPO group healthcare plan options and 75% of dental and vision insurance costs for employees. Your future, supported : We offer 401(k) plans and match 100% of your retirement contributions up to 4% of your earnings. Clean commuter benefits : We're all about clean energy. We make it easy and cheap to ride your bike or take public transit to work. Growth mindset : You'll grow your skills, your network, and your perspective at Swift. We'll support you in attending conferences and taking online courses, as long as you share your new insights with the team. Swift is an equal opportunity employer. We value an inclusive work environment and welcome team members of all backgrounds and perspectives. Even if this isn't the right job for you, we're always looking for good people. Please check out other career opportunities on our website and email us at with any questions. And if you have a friend who would be a perfect fit, send them this link. Thanks!
04/24/2024
Full time
About the company At Swift Solar, we're building the future of solar. We believe that solar energy has vast untapped potential to reduce inequity and protect planetary health in the face of global climate change. We believe that today's solar technology is good but not good enough. And we believe that what we build today should serve humanity forever. Swift's perovskite tandem technology breaks through the performance limits of existing solar technologies. By making solar better-more efficient, more affordable, and more widely accessible-we are helping to create a world where all energy is clean energy. Swift Solar is a mission-focused startup funded by committed investors. We know it's a long journey to take a new clean energy technology to market, and we're in it for the long haul together. If you join us, you'll play a meaningful role in taking Swift's impact to the next level. A day in the life As a Mechatronics Engineer at Swift, you will help us build and maintain a state-of-the-art engineering infrastructure to streamline our solar cell R&D and production processes. Your main responsibility will be to design, build, install, and maintain our automated characterization and metrology systems. You'll assist with the project based work by planning timelines and resources as well as leading hardware and software development and integration with our current data and process systems. You will work closely with our internal engineering team and with external engineering contractors and tool suppliers. On a typical day, you might work on improvements to the team's stability systems using your skills in circuit analysis and EDA/CAD software to design robust and accurate systems for scientists to run experiments on. You'll leverage your project planning skills to see your designs through from conception to assembly and implementation. Your proficiency in rapid prototyping will enable you to assemble circuit boards and enclosures to validate your designs. You might need to pause your work to help solve a new important issue with one of our characterization tools, enabling teammates to continue their work productively. As an early hire, you'll help craft Swift's culture. In this role you'll be interacting with every part of the company, which will naturally lead to many opportunities to grow your own skills and responsibilities. We encourage you to take full advantage of these opportunities. You might be a good fit if you Have hands-on experience in analog and digital circuit design, simulation, assembly and testing with specifics in analog measurements and noise isolation Have extensive experience in embedded systems (Arduino, Raspberry Pi, ESP32, etc.) Have experience in hardware/software system implementation with programming experience in C++, Python, Java, or other languages with hardware interfacing libraries Have experience implementing user-friendly interfaces (GUI, HMI, etc.) Have a maker mentality that allows you to prototype quickly while also producing robust systems that sustain through heavy use and have well-documented construction and troubleshooting guidelines Thrive in an environment with rapid changes in focus Take initiative to tackle problems you see around you, even if it's not your job A strong candidate might bring one or more of the following Experience in rapid prototyping, including simple 3D CAD work (SolidWorks or similar), fixture and enclosure T-slots, 3D printing, laser/waterjet cutting, CNC machining Past contributions to hardware open source projects Experience with PLC programming on Beckhoff (Twincat), Siemens, Omron, Aveva (Indusoft/Wonderware) or similar systems Automation experience in a manufacturing environment and for laboratory equipment Deep motivation to make an impact on climate change The logistics Compensation: Competitive package including salary, equity, and benefits Expected Pay Range: $100,000-$130,000 per year Ideal start date: February - April 2024 Job type: Full-time Location: San Carlos, CA (Swift Solar HQ) What you'll love about Swift Culture : We live by our values. You'll feel right at home if you want to serve the future, get better every day, respect your colleagues, and have fun. Health benefits : We cover 100% of monthly premiums for HMO and PPO group healthcare plan options and 75% of dental and vision insurance costs for employees. Your future, supported : We offer 401(k) plans and match 100% of your retirement contributions up to 4% of your earnings. Clean commuter benefits : We're all about clean energy. We make it easy and cheap to ride your bike or take public transit to work. Growth mindset : You'll grow your skills, your network, and your perspective at Swift. We'll support you in attending conferences and taking online courses, as long as you share your new insights with the team. Swift is an equal opportunity employer. We value an inclusive work environment and welcome team members of all backgrounds and perspectives. Even if this isn't the right job for you, we're always looking for good people. Please check out other career opportunities on our website and email us at with any questions. And if you have a friend who would be a perfect fit, send them this link. Thanks!
University of California, Berkeley
Berkeley, California
BIDS Executive Director (0379U) Job 66626 - Berkeley Institute for Data Science (BIDS) About Berkeley At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. The University of California, Berkeley, is one of the world's leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world. We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners. In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our Guiding Values and Principles , our Principles of Community , and our Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. To find out more about how you can grow your career at UC Berkeley, visit grow.berkeley.edu . Departmental Overview The Berkeley Institute for Data Science (BIDS - ) was founded in 2013 to build on Berkeley's strength in data science with a multidisciplinary emphasis. BIDS aims to facilitate and enhance the development and application of cutting-edge data science techniques in the biological, physical, social and engineering sciences. Today, BIDS is part of the new College of Computing, Data Science and Society (CDSS), where it serves as a hub for interdisciplinary research, tool development, and exchange of ideas between methodologies in computing, statistics and AI. BIDS connects with domain experts from across the entire disciplinary spectrum on campus, and hosts collaborations with local and national partners, including Lawrence Berkeley National Lab and NASA in the unique intellectual ecosystem of Berkeley. As CDSS further advances UC Berkeley's eminence in Data Science research and education, BIDS is entering a new era. It will serve as a central hub connecting scholars on campus, as well as reaching out to other Berkeley institutions including LBNL, the Simons Laufer Mathematical Sciences Institute, the Space Sciences Laboratory, the International Computer Science Institute, and the SkyDeck Startup Incubator. BIDS' expertise in open source tool development and open science makes it an ideal place to be a home for communities of practice around open knowledge, at a time when both open source software is becoming the norm for research computing, and when open science ideas become part of national science policies across multiple agencies. From this perspective, BIDS will help scholars from different fields to find shared needs, interests and ideas and build new collaborations. BIDS also aims to foster conversations regarding the role of Science and Society in the development of new tools and systems for AI. As a discipline-neutral environment, it will provide open space for emerging work ranging from the representation of scientific knowledge in AI models and the use of AI as a scientific instrument, to explorations with social scientists and humanists of questions at the intersection of the human experience, our social context and the role of AI in our lives. The Executive Director will take a leadership role in managing and developing the Institute's research programs and representing these programs to outside organizations. Under the direction of the BIDS faculty director, the ED will develop the vision and corresponding agenda to achieve the Institute's objectives. The incumbent will oversee all elements of program administration, facilitate collaborations among multiple research groups from across the campus as well as with partner organizations, and provide leadership in identifying outreach services. The Executive Director will work under the direction of the Institute's academic leadership to formulate strategic goals and objectives, direct long-term planning, and develop policies and procedures, and raise funding from external sources. This individual will be considered a subject matter expert on campus and is recognized as an expert externally in the field. Application Review Date The First Review Date for this job is: 5/1/24 - Open Until Filled Responsibilities 30% Manages major research program components in coordination with BIDS Faculty leadership and oversees execution of additional BIDS programs once funded. Coordinates varied and competing requirements associated with managing an innovative program in a university environment. Manages the Institute's facilities and budgets, supervises staff, and oversees the administrative, operational, and technical operations of the Institute. 25% Working with the BIDS Executive Committee, develops and executes strategy for financing and program activities in pursuit of the BIDS vision, and ensuring ongoing sustainability. Seeks funding and opportunities for mission-aligned research programs. Represents the Institute to internal and external audiences. Works with key partners in the College to develop industrial and academic membership programs as appropriate. Explores and fosters opportunities for knowledge transfer of research results to government sponsors, industry partners, and international organizations. Works with faculty leadership to build programs around open source and open science on campus, and establishes partnerships with other suitable stakeholders on campus and beyond (e.g. the Library, LBNL or other UC campuses) on these activities, building common policies and practices as appropriate. 15% Works with the Faculty Director to develop strategic goals, objectives and directions of the Institute, to identify opportunities and recommend Institute resource allocations, and partner institution agreements. Acts as a point of contact between the Institute sponsors , and Institute researchers and program organizers. Communicates with partner institutions to coordinate joint programs and activities and implement best practices, as appropriate. 10% Develops ideas and options for faculty review and decision, and develops and implements research programs that reflect faculty interests. Participates in assessment of program effectiveness, and recommends changes to program content, policies and strategic goals accordingly. 10% Works with Communications/Program Manager to develop public relations and other materials for external audiences. 5% Develops and maintains liaisons with the external advisory board. Represents the program to governing boards, outside agencies, and the public. 5% Serves on committees representing the Institute and participates in professional conferences, seminars and workshops relating to Professional Development. Required Qualifications Management and leadership experience in academic and/or government agencies and/or industry. Expertise in administrative, operational, budgetary, human resources, and financial principles and practices. Expert ability to work with dynamic and diverse group of researchers (faculty, staff, students), sponsors, and external collaborators. Excellent understanding of and appreciation for data science approaches and innovations AND the needs, goals and deadline pressures under which academic scientists across the disciplines get their work done. Excellent oral and written communication and negotiation skills, including political acumen, social perceptiveness, and an understanding of different cultures and social norms. Demonstrated expertise with program building within academic institutions. Demonstrated expertise in building collaborations between academia and/or industry organizations. Demonstrated experience working with communities in any aspect of open science/open knowledge in research environments. Expert fundraising and business development experience. Preferred Qualifications Advanced degree in related area and / or equivalent experience / training. Terminal degree in a related field preferred (PhD, JD, MD, etc.). Salary & Benefits For information on the comprehensive benefits package offered by the University . click apply for full job details
04/24/2024
Full time
BIDS Executive Director (0379U) Job 66626 - Berkeley Institute for Data Science (BIDS) About Berkeley At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. The University of California, Berkeley, is one of the world's leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world. We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners. In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our Guiding Values and Principles , our Principles of Community , and our Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. To find out more about how you can grow your career at UC Berkeley, visit grow.berkeley.edu . Departmental Overview The Berkeley Institute for Data Science (BIDS - ) was founded in 2013 to build on Berkeley's strength in data science with a multidisciplinary emphasis. BIDS aims to facilitate and enhance the development and application of cutting-edge data science techniques in the biological, physical, social and engineering sciences. Today, BIDS is part of the new College of Computing, Data Science and Society (CDSS), where it serves as a hub for interdisciplinary research, tool development, and exchange of ideas between methodologies in computing, statistics and AI. BIDS connects with domain experts from across the entire disciplinary spectrum on campus, and hosts collaborations with local and national partners, including Lawrence Berkeley National Lab and NASA in the unique intellectual ecosystem of Berkeley. As CDSS further advances UC Berkeley's eminence in Data Science research and education, BIDS is entering a new era. It will serve as a central hub connecting scholars on campus, as well as reaching out to other Berkeley institutions including LBNL, the Simons Laufer Mathematical Sciences Institute, the Space Sciences Laboratory, the International Computer Science Institute, and the SkyDeck Startup Incubator. BIDS' expertise in open source tool development and open science makes it an ideal place to be a home for communities of practice around open knowledge, at a time when both open source software is becoming the norm for research computing, and when open science ideas become part of national science policies across multiple agencies. From this perspective, BIDS will help scholars from different fields to find shared needs, interests and ideas and build new collaborations. BIDS also aims to foster conversations regarding the role of Science and Society in the development of new tools and systems for AI. As a discipline-neutral environment, it will provide open space for emerging work ranging from the representation of scientific knowledge in AI models and the use of AI as a scientific instrument, to explorations with social scientists and humanists of questions at the intersection of the human experience, our social context and the role of AI in our lives. The Executive Director will take a leadership role in managing and developing the Institute's research programs and representing these programs to outside organizations. Under the direction of the BIDS faculty director, the ED will develop the vision and corresponding agenda to achieve the Institute's objectives. The incumbent will oversee all elements of program administration, facilitate collaborations among multiple research groups from across the campus as well as with partner organizations, and provide leadership in identifying outreach services. The Executive Director will work under the direction of the Institute's academic leadership to formulate strategic goals and objectives, direct long-term planning, and develop policies and procedures, and raise funding from external sources. This individual will be considered a subject matter expert on campus and is recognized as an expert externally in the field. Application Review Date The First Review Date for this job is: 5/1/24 - Open Until Filled Responsibilities 30% Manages major research program components in coordination with BIDS Faculty leadership and oversees execution of additional BIDS programs once funded. Coordinates varied and competing requirements associated with managing an innovative program in a university environment. Manages the Institute's facilities and budgets, supervises staff, and oversees the administrative, operational, and technical operations of the Institute. 25% Working with the BIDS Executive Committee, develops and executes strategy for financing and program activities in pursuit of the BIDS vision, and ensuring ongoing sustainability. Seeks funding and opportunities for mission-aligned research programs. Represents the Institute to internal and external audiences. Works with key partners in the College to develop industrial and academic membership programs as appropriate. Explores and fosters opportunities for knowledge transfer of research results to government sponsors, industry partners, and international organizations. Works with faculty leadership to build programs around open source and open science on campus, and establishes partnerships with other suitable stakeholders on campus and beyond (e.g. the Library, LBNL or other UC campuses) on these activities, building common policies and practices as appropriate. 15% Works with the Faculty Director to develop strategic goals, objectives and directions of the Institute, to identify opportunities and recommend Institute resource allocations, and partner institution agreements. Acts as a point of contact between the Institute sponsors , and Institute researchers and program organizers. Communicates with partner institutions to coordinate joint programs and activities and implement best practices, as appropriate. 10% Develops ideas and options for faculty review and decision, and develops and implements research programs that reflect faculty interests. Participates in assessment of program effectiveness, and recommends changes to program content, policies and strategic goals accordingly. 10% Works with Communications/Program Manager to develop public relations and other materials for external audiences. 5% Develops and maintains liaisons with the external advisory board. Represents the program to governing boards, outside agencies, and the public. 5% Serves on committees representing the Institute and participates in professional conferences, seminars and workshops relating to Professional Development. Required Qualifications Management and leadership experience in academic and/or government agencies and/or industry. Expertise in administrative, operational, budgetary, human resources, and financial principles and practices. Expert ability to work with dynamic and diverse group of researchers (faculty, staff, students), sponsors, and external collaborators. Excellent understanding of and appreciation for data science approaches and innovations AND the needs, goals and deadline pressures under which academic scientists across the disciplines get their work done. Excellent oral and written communication and negotiation skills, including political acumen, social perceptiveness, and an understanding of different cultures and social norms. Demonstrated expertise with program building within academic institutions. Demonstrated expertise in building collaborations between academia and/or industry organizations. Demonstrated experience working with communities in any aspect of open science/open knowledge in research environments. Expert fundraising and business development experience. Preferred Qualifications Advanced degree in related area and / or equivalent experience / training. Terminal degree in a related field preferred (PhD, JD, MD, etc.). Salary & Benefits For information on the comprehensive benefits package offered by the University . click apply for full job details
Clinical Lab (Full-time, Varied Shift) Job Summary: The Clinical Lab Scientist 1, under general supervision, operates specialized instruments to conduct clinical lab tests and analyze data from results, to assist physicians with diagnosing medical conditions. The position is a clinical license position and a journey level classification in the Clinical Lab Scientist classification series. Performs other duties as needed. Education and Experience: Bachelor s Degree in the life sciences or an equivalent field of study required. Two years of experience working as a clinical laboratory scientist (CLS) in a medical laboratory preferred. Knowledge and Skills: Knowledge of medical lab standard operating procedures, types of software used, and equipment. Ability to perform basic clinical lab tests and interpret and analyze data, to determine the clinical significance of test results. Able to use and maintain specialized lab equipment needed to perform all lab procedures. Must be able to articulate logical and well -founded arguments that support conclusions, and exhibit excellent dexterity and analytical skills. Able to: read; write legibly; speak in English with professional quality; use computer and software programs necessary to the position; troubleshoot and calibrate patient care equipment. Able to relate and communicate positively, effectively, and professionally with others; be assertive and consistent in following and/or enforcing policies; work calmly and respond courteously when under pressure; lead, supervise, teach, and collaborate; accept direction. Able to communicate effectively in English in person, in writing, and on the telephone; think critically; work independently with minimal supervision; perform basic math functions; manage multiple assignments effectively; work well under pressure; problem solve; organize and prioritize workload; recall information with accuracy; pay close attention to detail. Able to distinguish colors and smells as necessary for patient care; hear sufficiently for general conversation in person and on the telephone; identify and distinguish various sounds associated with the work place/patient care; see adequately to read computer screens, medical records, and written documents necessary to position; discern temperature variances through touch. Licensures and Certifications: California Clinical Laboratory Scientist (CLS) License required. American Medical Technologist (AMT) Certification, or American Society for Clinical Pathology (ASCP) certification preferred.
04/24/2024
Full time
Clinical Lab (Full-time, Varied Shift) Job Summary: The Clinical Lab Scientist 1, under general supervision, operates specialized instruments to conduct clinical lab tests and analyze data from results, to assist physicians with diagnosing medical conditions. The position is a clinical license position and a journey level classification in the Clinical Lab Scientist classification series. Performs other duties as needed. Education and Experience: Bachelor s Degree in the life sciences or an equivalent field of study required. Two years of experience working as a clinical laboratory scientist (CLS) in a medical laboratory preferred. Knowledge and Skills: Knowledge of medical lab standard operating procedures, types of software used, and equipment. Ability to perform basic clinical lab tests and interpret and analyze data, to determine the clinical significance of test results. Able to use and maintain specialized lab equipment needed to perform all lab procedures. Must be able to articulate logical and well -founded arguments that support conclusions, and exhibit excellent dexterity and analytical skills. Able to: read; write legibly; speak in English with professional quality; use computer and software programs necessary to the position; troubleshoot and calibrate patient care equipment. Able to relate and communicate positively, effectively, and professionally with others; be assertive and consistent in following and/or enforcing policies; work calmly and respond courteously when under pressure; lead, supervise, teach, and collaborate; accept direction. Able to communicate effectively in English in person, in writing, and on the telephone; think critically; work independently with minimal supervision; perform basic math functions; manage multiple assignments effectively; work well under pressure; problem solve; organize and prioritize workload; recall information with accuracy; pay close attention to detail. Able to distinguish colors and smells as necessary for patient care; hear sufficiently for general conversation in person and on the telephone; identify and distinguish various sounds associated with the work place/patient care; see adequately to read computer screens, medical records, and written documents necessary to position; discern temperature variances through touch. Licensures and Certifications: California Clinical Laboratory Scientist (CLS) License required. American Medical Technologist (AMT) Certification, or American Society for Clinical Pathology (ASCP) certification preferred.
Requirements: Masters degree in Operations Research, Data Science, Mathematics, or related quantitative field (or foreign equivalent) and three (3) years of experience in the job offered, as a Senior Lead Data Scientist or a related occupation. Special Requirements: Must possess any academic training and/or experience in each of the following: Statistical Modeling Data Analysis Optimization Machine Learning Python Pandas Rate of Pay: $262,000 - $306,000 / year Contact: Qualified applicants must send resumes to (must reference job title and job code when applying).
04/24/2024
Requirements: Masters degree in Operations Research, Data Science, Mathematics, or related quantitative field (or foreign equivalent) and three (3) years of experience in the job offered, as a Senior Lead Data Scientist or a related occupation. Special Requirements: Must possess any academic training and/or experience in each of the following: Statistical Modeling Data Analysis Optimization Machine Learning Python Pandas Rate of Pay: $262,000 - $306,000 / year Contact: Qualified applicants must send resumes to (must reference job title and job code when applying).
I. DEPARTMENT INFORMATION Job Description Summary: The Biostatistics Center (BSC) is an off-campus research facility of The George Washington University located in Rockville, Maryland. The Biostatistics Center serves as the coordinating center for large scale federally funded multi-center clinical trials and epidemiological studies. The Biostatistics Center is a leader in the statistical coordination of major medical research programs of national and international scope. Visit our website at: . The Biostatistics Center is seeking a regular full-time Sr. Research Scientist to work for a research team serving as the Coordinating Center for Diabetes Prevention Program Outcomes Study. Position will serve as a Data Engineer and Scientist role and leads the design and development for real world data obtained from electronic health records (EHR) and integration with other data sources such as linkages (e.g. administrative claims data, national death index) into a data warehouse for longitudinal cohort studies. Responsible for the curation, cleaning, and transforming raw data into meaningful information for analysis purposes to address study objectives as well as the design and development of metadata engine to make data FAIR. Evaluates alternative standards based data extracts from multiple EHR platforms via FHIR api. Designs and deploys machine learning and other data processing and analytical pipelines to build a strong foundation to manage ontologies for diagnoses, treatments, and lab data as well as extract meaningful data from notes using natural language processing algorithms, and data visualization through dashboards. Coordinates database programming support, enhancement and upgrades to the data warehouse. Plans and executes the technical programming including data extraction routines, leads the data-management and supports the creation of reports, dashboards and statistical analysis pipelines. This position assumes major responsibilities for planning, conducting and supervising research at a level functioning similar to that of an Associate or Full Professor. Using broad familiarity with a variety of the field's concepts, practices, and procedures, this role uses quantitative and qualitative methods to collect, analyze and report data activities. This role relies on extensive experience and judgment to plan and accomplish goals, and performs a variety of tasks to carry out research. This position leads and directs the work of others. This is the highest non-management research position. Essential duties include: -Designs and leads the development of the EHR infrastructure to meet regulatory and privacy compliance and develop interfaces between EHR systems and BSC systems. -Leads the development of a common data model. -Develop documentation, code repository management and reporting routines -Collaborates with Principal Investigators and project managers to determine research studies' technology needs and to formulate approaches to meet them. -Develops automated statistical reporting pipelines to monitor study progress and results for use of statisticians and project managers. -Oversees the collaboration between coordinating center and other research units to include data extracts and processing clinic reports, and quality control, as well as the ad hoc programming requirements and collaboration with research staff in tasks requiring programming. -Communicates with the Biostatistics Center Systems Support staff and Administrative staff relating to systems and administrative details as needed. Participates in general staff meetings or study-specific meetings as required. -Performs other work-related duties as requested. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position. Minimum Qualifications: Qualified candidates will hold a Master's degree plus 8 years of experience or a PhD plus 5 years of experience in a related discipline, to include two years of research and/or college level teaching in a field basic to the work to be performed. Experience must include planning, conducting and reporting as primary responsibilities. Degree must be conferred by the start date of the position. Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: - MS or Ph.D. in Computer Science, Computer Engineering or related fields. - 5 years of increasingly responsible Master's-level experience in software development and customization practices, strategic software planning, and supervision of software projects and staff, and management of software systems. - The candidate ideally has good communication skills, good working knowledge of SQL and of python, R or SAS. - Experience with common data models and/or electronic health records. - Strong managerial and collaborative experience which includes supervising, planning, developing, writing, reporting and presenting to end users. - In-depth knowledge of and hands-on experience in current software, database and web-based technologies, including object-oriented framework-based systems. - Excellent verbal and written English communication skills. - Supervisory experience and solid experience in leading and developer teams. - A degree of creativity, initiative and independent thought expected. - Experience in and knowledge of clinical research data systems. Typical Hiring Range Commensurate with Experience. II. POSITION INFORMATION Campus Location: Rockville, Maryland College/School/Department: Biostats Family Research and Labs Sub-Family Field Research Stream Individual Contributor Level Level 5 Full-Time/Part-Time: Full time -> FTE 1.00 Hours Per Week: 35 Work Schedule: Monday through Friday, 9am to 5pm Will this job require the employee to work on site? No Employee Onsite Status Hybrid Telework: Yes Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Special Instructions to Applicants: Employer will not sponsor for employment Visa status Internal Applicants Only? No Posting Number: R001806 Job Open Date: 12/23/2022 Job Close Date: If temporary, grant funded or limited term appointment, position funded until: Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement: The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.
04/24/2024
Full time
I. DEPARTMENT INFORMATION Job Description Summary: The Biostatistics Center (BSC) is an off-campus research facility of The George Washington University located in Rockville, Maryland. The Biostatistics Center serves as the coordinating center for large scale federally funded multi-center clinical trials and epidemiological studies. The Biostatistics Center is a leader in the statistical coordination of major medical research programs of national and international scope. Visit our website at: . The Biostatistics Center is seeking a regular full-time Sr. Research Scientist to work for a research team serving as the Coordinating Center for Diabetes Prevention Program Outcomes Study. Position will serve as a Data Engineer and Scientist role and leads the design and development for real world data obtained from electronic health records (EHR) and integration with other data sources such as linkages (e.g. administrative claims data, national death index) into a data warehouse for longitudinal cohort studies. Responsible for the curation, cleaning, and transforming raw data into meaningful information for analysis purposes to address study objectives as well as the design and development of metadata engine to make data FAIR. Evaluates alternative standards based data extracts from multiple EHR platforms via FHIR api. Designs and deploys machine learning and other data processing and analytical pipelines to build a strong foundation to manage ontologies for diagnoses, treatments, and lab data as well as extract meaningful data from notes using natural language processing algorithms, and data visualization through dashboards. Coordinates database programming support, enhancement and upgrades to the data warehouse. Plans and executes the technical programming including data extraction routines, leads the data-management and supports the creation of reports, dashboards and statistical analysis pipelines. This position assumes major responsibilities for planning, conducting and supervising research at a level functioning similar to that of an Associate or Full Professor. Using broad familiarity with a variety of the field's concepts, practices, and procedures, this role uses quantitative and qualitative methods to collect, analyze and report data activities. This role relies on extensive experience and judgment to plan and accomplish goals, and performs a variety of tasks to carry out research. This position leads and directs the work of others. This is the highest non-management research position. Essential duties include: -Designs and leads the development of the EHR infrastructure to meet regulatory and privacy compliance and develop interfaces between EHR systems and BSC systems. -Leads the development of a common data model. -Develop documentation, code repository management and reporting routines -Collaborates with Principal Investigators and project managers to determine research studies' technology needs and to formulate approaches to meet them. -Develops automated statistical reporting pipelines to monitor study progress and results for use of statisticians and project managers. -Oversees the collaboration between coordinating center and other research units to include data extracts and processing clinic reports, and quality control, as well as the ad hoc programming requirements and collaboration with research staff in tasks requiring programming. -Communicates with the Biostatistics Center Systems Support staff and Administrative staff relating to systems and administrative details as needed. Participates in general staff meetings or study-specific meetings as required. -Performs other work-related duties as requested. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position. Minimum Qualifications: Qualified candidates will hold a Master's degree plus 8 years of experience or a PhD plus 5 years of experience in a related discipline, to include two years of research and/or college level teaching in a field basic to the work to be performed. Experience must include planning, conducting and reporting as primary responsibilities. Degree must be conferred by the start date of the position. Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: - MS or Ph.D. in Computer Science, Computer Engineering or related fields. - 5 years of increasingly responsible Master's-level experience in software development and customization practices, strategic software planning, and supervision of software projects and staff, and management of software systems. - The candidate ideally has good communication skills, good working knowledge of SQL and of python, R or SAS. - Experience with common data models and/or electronic health records. - Strong managerial and collaborative experience which includes supervising, planning, developing, writing, reporting and presenting to end users. - In-depth knowledge of and hands-on experience in current software, database and web-based technologies, including object-oriented framework-based systems. - Excellent verbal and written English communication skills. - Supervisory experience and solid experience in leading and developer teams. - A degree of creativity, initiative and independent thought expected. - Experience in and knowledge of clinical research data systems. Typical Hiring Range Commensurate with Experience. II. POSITION INFORMATION Campus Location: Rockville, Maryland College/School/Department: Biostats Family Research and Labs Sub-Family Field Research Stream Individual Contributor Level Level 5 Full-Time/Part-Time: Full time -> FTE 1.00 Hours Per Week: 35 Work Schedule: Monday through Friday, 9am to 5pm Will this job require the employee to work on site? No Employee Onsite Status Hybrid Telework: Yes Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Special Instructions to Applicants: Employer will not sponsor for employment Visa status Internal Applicants Only? No Posting Number: R001806 Job Open Date: 12/23/2022 Job Close Date: If temporary, grant funded or limited term appointment, position funded until: Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement: The university is an Equal Employment Opportunity/Affirmative Action employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.
Responsibilities The U-M School of Nursing, Applied Biostatistics Lab (ABL) seeks a student who is interested in contributing to a summer interdisciplinary research project situated at the cutting edge of intersection of tranlational research and data science. The goal is to develop a large language model (LLM) that extracts text and numeric data from Pubmed Central full-text articles. The immediate application is a model of risk of cardiovascular disease among individuals with prediabetes. Develop and Fine-tune Large Language Model (LLM): Utilize your expertise in natural language processing (NLP) and machine learning to fine-tune a robust LLM to effectively extract relevant data pertaining to cardiovascular disease risk factors from the vast corpus of Pubmed Central articles. Data Preprocessing and Annotation: Collaborate with the research team to preprocess and prepare already existing raw textual data and annotate key information relevant to the study objectives. Implement strategies for data cleaning, normalization, and standardization to ensure the accuracy and consistency of extracted data. Algoritm Implementation and Optimization: Explore prompt engineering to enhance the performance and scalability of the LLM, optimizing predictive accuracy. Model Evaluation and Validation: Conduct through evaluations of the developed/fine-tuned LLM to assess its performance against predefined metrics and benchmarks. Validate the model outputs through rigorous testing and comparison with ground truth data, identifying areas for improvement and refinement. Documentation and Reporting: Maintain comprehensive documentation of the LLM development process, including codebase, experimental setup, and results analysis. Generate clear and concise reports summarizing key findings, challenges encountered, and future directions for research. Collaboration and Communication: Collaborate effectively with interdisciplinary team members, including biostatisticians, computer scientists, and domain experts, to ensure alignment with research goals and objectives. Communicate progress updates, findings, and insights in regular team meetings and presentations. Desired Qualifications Currently enrolled in an undergraduate or master's program in computer science, data science, or a related field at the Univesity of Michigan.Authorization to work in the U.S. is a precondition of employement. Applicnts will not be sponsored for work visas. Familiarity with fine-tuning of foundational LLMs. Proficiency in programming languages commonly used in MLP and machine learning, such as Python, TensorFlow, or Py Torch. Strong foundation in NLP techniques, including text preprocessing, feature extraction, and sequence modeling. Familiarity with deep learning architectures (e.g., transformers, recurrent neural networks) and their applications in language understanding tasks Experience wih relevant libraries and frameworks for NLP, such as NLTK, spaCy, or Hugging Face Transformers. Excellent problem-soving skills and a proactive approach to addressing challenges in algorithm development and optimization. Effective communication skills and ability to work collaboratively in a team-oriented environment. Must demonstrate excellent communiction skills and attention to detail. Training or experience related to developing LLMs. Statistical or programming coursework, training, or experience is preferred. Experience working on interdisciplinary teams is preferred. U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer. Job Detail Job Opening ID 247605 Working Title RESEARCH ASST II (TEMP) Job Title RESEARCH ASST II (TEMP) Work Location Ann Arbor Campus Ann Arbor, MI Full/Part Time Part-Time Regular/Temporary Temporary FLSA Status Nonexempt Organizational Group School Nursing Department School of Nursing Posting Begin/End Date 4/11/2024 - 5/11/2024 Salary $20.00 - $20.00 Career Interest Temporary Job Opening Apply Now
04/24/2024
Full time
Responsibilities The U-M School of Nursing, Applied Biostatistics Lab (ABL) seeks a student who is interested in contributing to a summer interdisciplinary research project situated at the cutting edge of intersection of tranlational research and data science. The goal is to develop a large language model (LLM) that extracts text and numeric data from Pubmed Central full-text articles. The immediate application is a model of risk of cardiovascular disease among individuals with prediabetes. Develop and Fine-tune Large Language Model (LLM): Utilize your expertise in natural language processing (NLP) and machine learning to fine-tune a robust LLM to effectively extract relevant data pertaining to cardiovascular disease risk factors from the vast corpus of Pubmed Central articles. Data Preprocessing and Annotation: Collaborate with the research team to preprocess and prepare already existing raw textual data and annotate key information relevant to the study objectives. Implement strategies for data cleaning, normalization, and standardization to ensure the accuracy and consistency of extracted data. Algoritm Implementation and Optimization: Explore prompt engineering to enhance the performance and scalability of the LLM, optimizing predictive accuracy. Model Evaluation and Validation: Conduct through evaluations of the developed/fine-tuned LLM to assess its performance against predefined metrics and benchmarks. Validate the model outputs through rigorous testing and comparison with ground truth data, identifying areas for improvement and refinement. Documentation and Reporting: Maintain comprehensive documentation of the LLM development process, including codebase, experimental setup, and results analysis. Generate clear and concise reports summarizing key findings, challenges encountered, and future directions for research. Collaboration and Communication: Collaborate effectively with interdisciplinary team members, including biostatisticians, computer scientists, and domain experts, to ensure alignment with research goals and objectives. Communicate progress updates, findings, and insights in regular team meetings and presentations. Desired Qualifications Currently enrolled in an undergraduate or master's program in computer science, data science, or a related field at the Univesity of Michigan.Authorization to work in the U.S. is a precondition of employement. Applicnts will not be sponsored for work visas. Familiarity with fine-tuning of foundational LLMs. Proficiency in programming languages commonly used in MLP and machine learning, such as Python, TensorFlow, or Py Torch. Strong foundation in NLP techniques, including text preprocessing, feature extraction, and sequence modeling. Familiarity with deep learning architectures (e.g., transformers, recurrent neural networks) and their applications in language understanding tasks Experience wih relevant libraries and frameworks for NLP, such as NLTK, spaCy, or Hugging Face Transformers. Excellent problem-soving skills and a proactive approach to addressing challenges in algorithm development and optimization. Effective communication skills and ability to work collaboratively in a team-oriented environment. Must demonstrate excellent communiction skills and attention to detail. Training or experience related to developing LLMs. Statistical or programming coursework, training, or experience is preferred. Experience working on interdisciplinary teams is preferred. U-M EEO/AA Statement The University of Michigan is an equal opportunity/affirmative action employer. Job Detail Job Opening ID 247605 Working Title RESEARCH ASST II (TEMP) Job Title RESEARCH ASST II (TEMP) Work Location Ann Arbor Campus Ann Arbor, MI Full/Part Time Part-Time Regular/Temporary Temporary FLSA Status Nonexempt Organizational Group School Nursing Department School of Nursing Posting Begin/End Date 4/11/2024 - 5/11/2024 Salary $20.00 - $20.00 Career Interest Temporary Job Opening Apply Now
Description CME Group is currently looking for a Data Science summer intern. This candidate will assist the Data Science team on day-to-day activities in support of Data Engineering such as building python and bigquery based ETL applications, build bigquery SQLs to enhance business users experience with GCP datasets. Principal Accountabilities: Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Skills / Software Requirements: Working SQL knowledge and experience working with relational databases, NO-SQL, Columnar datastructures query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience with Python programming language. Having experience in any of the following software/tools is bonus: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Argo, Airflow, etc. Experience with GCP cloud services: Bigquery, Cloud Storage, GKE, Vertex AI Pipelines Experience with DevOps technologies : Terraform, Jenkins Education: Actively enrolled in a Graduate program in Computer Science, Statistics, Data Engineer/ Data Science / Data Analytics, Informatics, Information Systems or another quantitative field. Other Requirements: Hybrid Schedule - able to come into the CME Group Chicago office. Able to work 40 hours per week CME Group: Where Futures Are Made CME Group () is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career shaping tomorrow. We invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more. At CME Group, we embrace our employees' diverse experiences, cultures and skills, and work to ensure that everyone's perspectives are acknowledged and valued. As an equal opportunity employer, we recognize the importance of a diverse and inclusive workplace and consider all potential employees without regard to any protected characteristic. The Candidate Privacy Policy can be found here.
04/24/2024
Full time
Description CME Group is currently looking for a Data Science summer intern. This candidate will assist the Data Science team on day-to-day activities in support of Data Engineering such as building python and bigquery based ETL applications, build bigquery SQLs to enhance business users experience with GCP datasets. Principal Accountabilities: Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Skills / Software Requirements: Working SQL knowledge and experience working with relational databases, NO-SQL, Columnar datastructures query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience with Python programming language. Having experience in any of the following software/tools is bonus: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Argo, Airflow, etc. Experience with GCP cloud services: Bigquery, Cloud Storage, GKE, Vertex AI Pipelines Experience with DevOps technologies : Terraform, Jenkins Education: Actively enrolled in a Graduate program in Computer Science, Statistics, Data Engineer/ Data Science / Data Analytics, Informatics, Information Systems or another quantitative field. Other Requirements: Hybrid Schedule - able to come into the CME Group Chicago office. Able to work 40 hours per week CME Group: Where Futures Are Made CME Group () is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career shaping tomorrow. We invest in your success and you own it, all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more. At CME Group, we embrace our employees' diverse experiences, cultures and skills, and work to ensure that everyone's perspectives are acknowledged and valued. As an equal opportunity employer, we recognize the importance of a diverse and inclusive workplace and consider all potential employees without regard to any protected characteristic. The Candidate Privacy Policy can be found here.
Must have a Master's Degree in Computer Science, Statistics, Mathematics or Business Analytics. Must have completed college level courses in the following topics: 1) Applied machine learning; 2) Business analytics with R; and 3) Data Visualization. To apply, send a cover letter and two (2) resumes to the address listed and include reference number 8641.041. Worksite is located at 425 Metro Place North, Dublin OH 43107.
04/24/2024
Must have a Master's Degree in Computer Science, Statistics, Mathematics or Business Analytics. Must have completed college level courses in the following topics: 1) Applied machine learning; 2) Business analytics with R; and 3) Data Visualization. To apply, send a cover letter and two (2) resumes to the address listed and include reference number 8641.041. Worksite is located at 425 Metro Place North, Dublin OH 43107.