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 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 closely with product, technology, and business leaders to apply the state of the art in AI to our business, ensuring that emerging capabilities transform customer experiences.
About the Role
In this role, 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 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 implementation.
You will engage in high-impact applied research to push the latest AI developments into the next generation of customer experiences. Beyond technical execution, you will flex your interpersonal skills to translate the complexity of your work into tangible business goals, ensuring that every decision prioritizes the right outcome for our customers.
The Ideal Candidate
We are looking for individuals who love the process of analyzing and creating, sharing a passion to do the right thing. You are innovative, continually researching and evaluating emerging technologies to stay current on state-of-the-art methods. You are creative, thriving on bringing definition to big, undefined problems and pushing hard to find answers.
As a leader, you challenge conventional thinking and work with stakeholders to identify and improve the status quo. You possess a deep understanding of AI methodologies and an engineering mindset, demonstrated by a track record of delivering models at scale. You have the ability to 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
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 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.
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 technical work into tangible business goals
- check_circleLeverage technologies like PyTorch and AWS to extract insights from large data volumes
- 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
- verifiedExperience delivering libraries, platform level code or solution level code
- verifiedFirst author publications or projects in machine learning
- verifiedPhD focus on NLP or Masters with 5 years of industrial NLP research experience
- verifiedMultiple publications on topics related to pre-training of large language models
- verifiedMember of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
- verified
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.
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; PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields preferred.
Frequently asked questions about Applied Researcher II at Capital One
What does a Applied Researcher II at Capital One do?expand_more
Day-to-day, the Applied Researcher II 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 technical work into tangible business goals; and leverage technologies like pytorch and aws to extract insights from large data volumes.
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; Experience delivering libraries, platform level code or solution level code; First author publications or projects in machine learning; and PhD focus on NLP or Masters with 5 years of industrial NLP research experience.
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 mid level 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; Master's in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields with 4 years experience; and PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields preferred.
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.