Principal Associate, Data Scientist - LLM Customization Team
Capital One
Principal Associate, Data Scientist - LLM Customization Team
Job Description
Overview
At Capital One, we think big and do big things. We are not just a nationally recognized credit card issuer, a top 10 bank by deposit, but a high-tech company with products that reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future. AI is transforming every industry. At Capital One, you will help shape how it transforms financial services.Team DescriptionAI Foundations LLM Customization team is at the center of bringing our vision for LLMs and GenAI at Capital One to life. Our work touches every aspect of the research life cycle, from research to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.In this role, you will:Partner with a cross-functional team of data scientists, applied researchers, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
Leverage a broad stack of technologies — Pytorch, Hugging Face, AWS Ultraclusters, LangChain, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.
Build NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.
Basic Qualifications:
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications:
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
Experience with Large Language Models (LLM), Finetuning, and Deep Learning
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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).
Locations
- New York, New York, United States
- McLean, Virginia New York, New YorkMcLean
Salary
50,000 - 85,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Natural Language Processing (NLP)intermediate
- Large Language Models (LLMs)intermediate
- PyTorchintermediate
- Hugging Faceintermediate
- AWS Ultraclustersintermediate
- LangChainintermediate
- VectorDBsintermediate
- Machine Learningintermediate
- Deep Learningintermediate
Required Qualifications
- Bachelor's Degree in quantitative field + 5 years data analytics experience (experience)
- Master's Degree in quantitative field or MBA with quantitative concentration + 3 years data analytics experience (experience)
- PhD in quantitative field (experience)
- Master's Degree in STEM + 3 years data analytics experience (experience)
- PhD in STEM (experience)
- At least 1 year AWS (experience)
- At least 3 years Python/Scala/R (experience)
- At least 3 years machine learning (experience)
- Experience with LLMs, Finetuning, Deep Learning (experience)
Responsibilities
- Partner with cross-functional team to deliver AI powered products
- Leverage technologies like PyTorch, Hugging Face, AWS Ultraclusters to analyze data
- Serve as NLP expert to harness and finetune LLMs for business applications
- Build NLP models through all development phases
- Partner with engineering teams to operationalize models in production systems
- Translate complex work into tangible business goals
Benefits
- general: Comprehensive health benefits
- general: Financial benefits
- general: Other benefits supporting total well-being
Answer 10 quick questions to check your fit for Principal Associate, Data Scientist - LLM Customization Team @ Capital One.
Related Books and Jobs
Principal Associate, Data Scientist - LLM Customization Team
Capital One
Principal Associate, Data Scientist - LLM Customization Team
Job Description
Overview
At Capital One, we think big and do big things. We are not just a nationally recognized credit card issuer, a top 10 bank by deposit, but a high-tech company with products that reach tens of millions of consumers and have been recognized by numerous prestigious awards for their customer-friendliness. Capital One was the first major bank to move to cloud computing and to publish APIs for the Open Banking future. AI is transforming every industry. At Capital One, you will help shape how it transforms financial services.Team DescriptionAI Foundations LLM Customization team is at the center of bringing our vision for LLMs and GenAI at Capital One to life. Our work touches every aspect of the research life cycle, from research to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies.In this role, you will:Partner with a cross-functional team of data scientists, applied researchers, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money.
Leverage a broad stack of technologies — Pytorch, Hugging Face, AWS Ultraclusters, LangChain, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features.
Build NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems.
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.
Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences.
You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.
You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products.
Basic Qualifications:
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications:
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
Experience with Large Language Models (LLM), Finetuning, and Deep Learning
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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.comCapital 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).
Locations
- New York, New York, United States
- McLean, Virginia New York, New YorkMcLean
Salary
50,000 - 85,000 USD / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Natural Language Processing (NLP)intermediate
- Large Language Models (LLMs)intermediate
- PyTorchintermediate
- Hugging Faceintermediate
- AWS Ultraclustersintermediate
- LangChainintermediate
- VectorDBsintermediate
- Machine Learningintermediate
- Deep Learningintermediate
Required Qualifications
- Bachelor's Degree in quantitative field + 5 years data analytics experience (experience)
- Master's Degree in quantitative field or MBA with quantitative concentration + 3 years data analytics experience (experience)
- PhD in quantitative field (experience)
- Master's Degree in STEM + 3 years data analytics experience (experience)
- PhD in STEM (experience)
- At least 1 year AWS (experience)
- At least 3 years Python/Scala/R (experience)
- At least 3 years machine learning (experience)
- Experience with LLMs, Finetuning, Deep Learning (experience)
Responsibilities
- Partner with cross-functional team to deliver AI powered products
- Leverage technologies like PyTorch, Hugging Face, AWS Ultraclusters to analyze data
- Serve as NLP expert to harness and finetune LLMs for business applications
- Build NLP models through all development phases
- Partner with engineering teams to operationalize models in production systems
- Translate complex work into tangible business goals
Benefits
- general: Comprehensive health benefits
- general: Financial benefits
- general: Other benefits supporting total well-being
Answer 10 quick questions to check your fit for Principal Associate, Data Scientist - LLM Customization Team @ Capital One.
Related Books and Jobs