Applied Researcher II
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 bring the transformative power of emerging AI capabilities 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 our research translates into tangible value for our customers.
The Role
As an Applied Researcher II, you will partner with a cross-functional team of data scientists, software engineers, and product managers to deliver AI-powered products that change how customers interact with their money. You will engage in high-impact applied research to take the latest AI developments and push them into the next generation of customer experiences. This role requires flexing your interpersonal skills to translate the complexity of your work into tangible business goals, ensuring that innovation serves the right decisions for our customers.
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 during the recruiting process, please contact Capital One Recruiting.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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_circleAnalyze large volumes of numeric and textual data using PyTorch and AWS
- check_circleTranslate complex research concepts into tangible business goals
- check_circleOwn and pursue a research agenda to solve undefined problems
- check_circleConduct high-impact applied research to advance customer experiences
Requirements
- verifiedPhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research
- verifiedM.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
- verifiedExperience building large deep learning models
- verifiedHands-on experience developing AI foundation models using open-source tools and cloud computing platforms
- verifiedExperience delivering libraries, platform level code or solution level code to existing products
- verifiedPublications in machine learning or deep learning theory
- verifiedExperience with PyTorch, AWS, Huggingface, Lightning, or VectorDBs
- verifiedWork authorization sponsorship eligibility
Nice to Have
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, or Electrical Engineering. LLM focus on NLP 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 focus on geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series). Multiple papers on training models on graph and sequential data structures at KDD, ICML, NeurIPs, or ICLR. Experience scaling graph models to greater than 50m nodes. Experience with large-scale deep learning-based recommender systems. Experience with production real-time and streaming environments. Contributions to open source frameworks (pytorch-geometric, DGL). Proposed new methods for inference or representation learning on graphs or sequences. Experience with datasets having 100m+ users. 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
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Skills, education and keywords
Skills: Machine Learning, Ai, Pytorch, Aws, Huggingface, Lightning, Vectordbs, 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 4 years experience.
Frequently asked questions about Applied Researcher II at Capital One
What does a Applied Researcher II at Capital One do?expand_more
In this Applied Researcher II at Capital One role, you will partner with cross-functional teams to deliver ai-powered products; build ai foundation models through design, training, evaluation, and implementation; analyze large volumes of numeric and textual data using pytorch and aws; and translate complex research concepts into tangible business goals.
What are the requirements for this Applied Researcher II role?expand_more
Capital One is looking for candidates who meet the following requirements: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research; M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research; Experience building large deep learning models; Hands-on experience developing AI foundation models using open-source tools and cloud computing platforms; Experience delivering libraries, platform level code or solution level code to existing products; and Publications in machine learning or deep learning theory.
Where is the Applied Researcher II role at Capital One located?expand_more
Applied Researcher II 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 II job remote, hybrid, or on-site?expand_more
Capital One has listed this Applied Researcher II role as on-site.
How much experience is required for this Applied Researcher II role?expand_more
Applied Researcher II at Capital One typically requires 2–4 years of relevant experience at the senior level.
What skills do you need for the Applied Researcher II role at Capital One?expand_more
Key skills for Applied Researcher II at Capital One include Machine Learning; Ai; Pytorch; Aws; Huggingface; Lightning; Vectordbs; and Deep Learning.
What education is required for Applied Researcher II 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 4 years experience.
What category does the Applied Researcher II role belong to?expand_more
Applied Researcher II at Capital One is part of the it job category on Recrutus.