Hobbsnews
Manager, Data Science - GenAI Digital Assistant
Hobbsnews, San Jose, California, United States, 95199
Overview
Manager, Data Science - GenAI Digital Assistant Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988. Fast-forward to today, Capital One is a data-driven organization focused on decision-making at scale. As a Data Scientist at Capital One, you’ll be part of a team that embodies disruption at a new scale, using the latest computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help people save money, time and effort in their financial lives. Team Description
The GenAI Powered Digital Assistant Team in AI Foundations engages in active research in GenAI-powered conversational capabilities and builds scalable, futuristic solutions to enhance the customer digital experience and real-time support through digital assistance. You will lead research, innovate, and develop applications with emerging AI/ML technologies. Our research areas include advanced LLM-powered digital assistant capabilities, multi-agent workflows, domain-specific conversational LLM tuning, and inference optimization. In this role, you will
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how developers write software. Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions. Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agent workflows. Leverage a broad technology stack — Python, AWS, PySpark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more. Be the expert in Natural Language Processing (NLP) to harness the power of LLMs, adapt and finetune them for business-specific applications and features. Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable production systems. Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance. The Ideal Candidate is
Innovative. You are deeply engaged in AI/ML research and stay ahead of GenAI advancements. You seek opportunities to apply state-of-the-art methods to real-world problems. Creative. You excel at solving complex, ambiguous problems and developing novel solutions. A leader. You challenge conventional thinking, drive breakthroughs in conversational AI, and mentor teams to achieve innovation excellence. Technical. You have hands-on AI/ML development experience with open-source tools, cloud platforms, and DevOps; proficient in NLP and LLM tuning. Influential. You can bring cross-functional teams together to drive adoption and clearly communicate ideas to technical and non-technical audiences. Basic Qualifications
Currently has, or is in the process of obtaining one of the following with the expectation that the degree will be obtained by the start date:
A Bachelor's Degree in a quantitative field plus 6 years of data analytics experience A Master's Degree in a quantitative field or MBA with quantitative concentration plus 4 years of data analytics experience A PhD in a quantitative field plus 1 year of data analytics experience
At least 1 year of experience leveraging open-source programming languages for large-scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases Preferred Qualifications
PhD in Computer Engineering plus 3 years of relevant experience, prior publication/research experience preferred At least 3 years of specialized GenAI application development experience At least 3 years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU clusters At least 3 years of experience working with AWS or equivalent GPU clusters At least 3 years of experience in PyTorch/TensorFlow Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries are the amount Capital One is willing to pay at the time of posting. Salaries for part-time roles will be prorated based on hours. McLean, VA: $193,400 - $220,700 for Mgr, Data Science New York, NY: $211,000 - $240,800 for Mgr, Data Science San Jose, CA: $211,000 - $240,800 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range for that location, and the actual offer will be reflected in the offer letter. This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses 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. Learn more at Capital One Careers. Eligibility varies based on status. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace and will consider qualified applicants with a criminal history consistent with applicable laws. If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to provide needed accommodations. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not endorse third-party products or services available through this site. Capital One Financial is composed of multiple entities. Positions posted in Canada are for Capital One Canada, in the United Kingdom for Capital One Europe, and in the Philippines for Capital One Philippines Service Corp. (COPSSC).
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Manager, Data Science - GenAI Digital Assistant Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988. Fast-forward to today, Capital One is a data-driven organization focused on decision-making at scale. As a Data Scientist at Capital One, you’ll be part of a team that embodies disruption at a new scale, using the latest computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help people save money, time and effort in their financial lives. Team Description
The GenAI Powered Digital Assistant Team in AI Foundations engages in active research in GenAI-powered conversational capabilities and builds scalable, futuristic solutions to enhance the customer digital experience and real-time support through digital assistance. You will lead research, innovate, and develop applications with emerging AI/ML technologies. Our research areas include advanced LLM-powered digital assistant capabilities, multi-agent workflows, domain-specific conversational LLM tuning, and inference optimization. In this role, you will
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how developers write software. Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions. Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agent workflows. Leverage a broad technology stack — Python, AWS, PySpark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more. Be the expert in Natural Language Processing (NLP) to harness the power of LLMs, adapt and finetune them for business-specific applications and features. Drive innovation by designing, training, evaluating, and deploying state-of-the-art NLP models, partnering with engineering teams to integrate them into scalable production systems. Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance. The Ideal Candidate is
Innovative. You are deeply engaged in AI/ML research and stay ahead of GenAI advancements. You seek opportunities to apply state-of-the-art methods to real-world problems. Creative. You excel at solving complex, ambiguous problems and developing novel solutions. A leader. You challenge conventional thinking, drive breakthroughs in conversational AI, and mentor teams to achieve innovation excellence. Technical. You have hands-on AI/ML development experience with open-source tools, cloud platforms, and DevOps; proficient in NLP and LLM tuning. Influential. You can bring cross-functional teams together to drive adoption and clearly communicate ideas to technical and non-technical audiences. Basic Qualifications
Currently has, or is in the process of obtaining one of the following with the expectation that the degree will be obtained by the start date:
A Bachelor's Degree in a quantitative field plus 6 years of data analytics experience A Master's Degree in a quantitative field or MBA with quantitative concentration plus 4 years of data analytics experience A PhD in a quantitative field plus 1 year of data analytics experience
At least 1 year of experience leveraging open-source programming languages for large-scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases Preferred Qualifications
PhD in Computer Engineering plus 3 years of relevant experience, prior publication/research experience preferred At least 3 years of specialized GenAI application development experience At least 3 years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU clusters At least 3 years of experience working with AWS or equivalent GPU clusters At least 3 years of experience in PyTorch/TensorFlow Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries are the amount Capital One is willing to pay at the time of posting. Salaries for part-time roles will be prorated based on hours. McLean, VA: $193,400 - $220,700 for Mgr, Data Science New York, NY: $211,000 - $240,800 for Mgr, Data Science San Jose, CA: $211,000 - $240,800 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range for that location, and the actual offer will be reflected in the offer letter. This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses 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. Learn more at Capital One Careers. Eligibility varies based on status. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace and will consider qualified applicants with a criminal history consistent with applicable laws. If you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to provide needed accommodations. For technical support or questions about Capital One's recruiting process, please email Careers@capitalone.com. Capital One does not endorse third-party products or services available through this site. Capital One Financial is composed of multiple entities. Positions posted in Canada are for Capital One Canada, in the United Kingdom for Capital One Europe, and in the Philippines for Capital One Philippines Service Corp. (COPSSC).
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