Applied Researcher I
Not Disclosed•Full-TimeOn-site
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
About the Mission
At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, we have been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams to reimagine how we serve our customers and businesses.
About the Team
The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We collaborate with product, technology, and business leaders to apply the state of the art in AI to our business, ensuring that the transformative power of emerging AI capabilities reaches the products and services our customers love.
About the Role
As an Applied Researcher I, you will partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data, building AI foundation models through all phases of development from design through training, evaluation, validation, and implementation.
This role is designed for those who love the process of analyzing and creating, sharing a passion to do the right thing by making the right decisions for our customers. You will engage in high-impact applied research to push the latest AI developments into the next generation of customer experiences, flexing your interpersonal skills to translate the complexity of your work into tangible business goals. You will own and pursue a research agenda, choosing impactful problems and autonomously carrying out long-running projects.
Hiring Process
Candidates hired to work in other locations will be subject to the pay range associated with that location. This role is expected to accept applications for a minimum of 5 business days. No agencies please.
Equal Opportunity & Culture
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.
If you require an accommodation to apply, 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 the extent required to provide needed reasonable accommodations.
Work location
Work model: On-site
NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
New York, New York
Key Responsibilities
- check_circlePartner with cross-functional teams to deliver AI-powered products
- check_circleBuild AI foundation models through design, training, evaluation, and implementation
- check_circleTranslate complex research concepts into tangible business goals
- check_circleLeverage technologies like PyTorch and AWS to extract insights from large datasets
- check_circleConduct high-impact applied research to advance customer experiences
Requirements
- verifiedPhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields
- verifiedM.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
- verifiedExperience building large deep learning models
- verifiedExperience with Pytorch, AWS, Huggingface, Lightning, VectorDBs
- verifiedExperience delivering libraries, platform level code or solution level code
- verifiedTrack record of high quality ideas or publications in machine learning
- verifiedWork authorization (sponsored candidates considered)
Nice to Have
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, or Electrical Engineering. LLM focus on NLP (PhD) or Masters with 5 years of industrial NLP research experience. Multiple publications on pre-training of large language models (e.g., technical reports, SSL techniques, optimization). Membership in a team that trained a large language model from scratch (10B+ parameters, 500B+ tokens). Publications in deep learning theory. Publications at ACL, NAACL, EMNLP, Neurips, ICML, or ICLR. PhD focused on optimizing training of very large deep learning models. Multiple years of experience and/or publications on model sparsification, quantization, training parallelism/partitioning design, gradient checkpointing, or model compression. Experience optimizing training for a 10B+ model. Deep knowledge of deep learning algorithmic and/or optimizer design. Experience with compiler design. PhD focused on guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning). Demonstrated knowledge of transfer learning, model adaptation, and model guidance. Experience deploying a fine-tuned large language model. Publications studying tokenization, data quality, dataset curation, or labeling. Contribution to a major open source corpus. Contribution to open source libraries for data quality, dataset curation, or labeling.
Benefits & Perks
check_circleEligible for performance-based incentive compensation including cash bonuses and/or long-term incentivescheck_circleComprehensive, competitive, and inclusive set of health, financial, and other benefits
Similar Job Opportunities
Skills, education and keywords
Skills: Machine Learning, Ai, Pytorch, Aws, Huggingface, Lightning, Vector DBS, Deep Learning, LLM, NLP.
Education: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields required; Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 2 years of experience.
Frequently asked questions about Applied Researcher I at Capital One
What does a Applied Researcher I at Capital One do?expand_more
Day-to-day, the Applied Researcher I at Capital One will partner with cross-functional teams to deliver ai-powered products; build ai foundation models through design, training, evaluation, and implementation; translate complex research concepts into tangible business goals; and leverage technologies like pytorch and aws to extract insights from large datasets.
What are the requirements for this Applied Researcher I role?expand_more
To qualify for the Applied Researcher I at Capital One position, applicants should have: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields; M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research; Experience building large deep learning models; Experience with Pytorch, AWS, Huggingface, Lightning, VectorDBs; Experience delivering libraries, platform level code or solution level code; and Track record of high quality ideas or publications in machine learning.
Where is the Applied Researcher I role at Capital One located?expand_more
Applied Researcher I at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Applied Researcher I job remote, hybrid, or on-site?expand_more
Capital One has listed this Applied Researcher I role as on-site.
How much experience is required for this Applied Researcher I role?expand_more
Applied Researcher I at Capital One typically requires 2+ years of relevant experience at the mid level level.
What skills do you need for the Applied Researcher I role at Capital One?expand_more
Key skills for Applied Researcher I at Capital One include Machine Learning; Ai; Pytorch; Aws; Huggingface; Lightning; Vector DBS; and Deep Learning.
What education is required for Applied Researcher I at Capital One?expand_more
Educational requirements for this role: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields required; and Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 2 years of experience.
What category does the Applied Researcher I role belong to?expand_more
Applied Researcher I at Capital One is part of the it job category on Recrutus.