Applied Researcher I

Overview:

At Capital One we are creating trustworthy and reliable AI systems changing banking for good. For years Capital One has been leading the industry in using machine learning to create realtime 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 worldclass applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable highperformance AI infrastructure. At Capital One you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

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 work with product technology and business leaders to apply the state of the art in AI to our business.

In this role you will:

• Partner with a crossfunctional team of data scientists software engineers machine learning engineers and product managers to deliver AIpowered products that change how customers interact with their money.

• Leverage a broad stack of technologies Pytorch AWS Ultraclusters Huggingface Lightning VectorDBs and more to reveal the insights hidden within huge volumes of numeric and textual data.

• Build AI foundation models through all phases of development from design through training evaluation validation and implementation.

• Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.

• Flex your interpersonal skills to translate the complexity of your work into tangible business goals.

The Ideal Candidate:

• You love the process of analyzing and creating but also share our passion to do the right thing. You know at the end of the day its about making the right decision for our customers.

• Innovative. You continually research and evaluate emerging technologies. You stay current on published stateoftheart 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. Youre not afraid to share a new idea.

• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. Youre passionate about talent development for your own team and beyond.

• Technical. Youre comfortable with opensource languages and are passionate about developing further. You have handson experience developing AI foundation models and solutions using opensource tools and cloud computing platforms.

• Has a deep understanding of the foundations of AI methodologies.

• Experience building large deep learning models whether on language images events or graphs as well as expertise in one or more of the following: training optimization selfsupervised learning robustness explainability RLHF.

• An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.

• Experience in delivering libraries platform level code or solution level code to existing products.

• A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning demonstrated by accomplishments such as first author publications or projects.

• Possess the ability to own and pursue a research agenda including choosing impactful research problems and autonomously carrying out longrunning projects.

Basic Qualifications:

• Currently has or is in the process of obtaining a PhD with an expectation that required degree will be obtained on or before the scheduled start date or M.S. with at least 2 years of experience in Applied Research

Preferred Qualifications:

• PhD in Computer Science Machine Learning Computer Engineering Applied Mathematics Electrical Engineering or related fields

• LLM

  • PhD focus on NLP or Masters with 5 years of industrial NLP research experience

  • Multiple publications on topics related to the pretraining of large language models (e.g. technical reports of pretrained LLMs SSL techniques model pretraining optimization)

  • Member of team that has trained a large language model from scratch 10B parameters 500B tokens)

  • Publications in deep learning theory

  • Publications at ACL NAACL and EMNLP Neurips ICML or ICLR

• Optimization (Training & Inference)

  • PhD focused on topics related to optimizing training of very large deep learning models

  • Multiple years of experience and/or publications on one of the following topics: Model Sparsification Quantization Training Parallelism/Partitioning Design Gradient Checkpointing Model Compression

  • Experience optimizing training for a 10B model

  • Deep knowledge of deep learning algorithmic and/or optimizer design

  • Experience with compiler design

• Finetuning

  • PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning InstructionTuning DialogueFinetuning Parameter Tuning)

  • Demonstrated knowledge of principles of transfer learning model adaptation and model guidance

  • Experience deploying a finetuned large language model

• Data Preparation

  • 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

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

The minimum and maximum fulltime annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for parttime roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York NY:for Applied Researcher I

Cambridge MA:for Applied Researcher I

San Francisco CA: 00 for Applied Researcher I
McLean VA: 00 for Applied Researcher I

San Jose CA: 00 for Applied Researcher I

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 candidates offer letter.

This role is also eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

The minimum and maximum fulltime annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for parttime roles will be prorated based upon the agreed upon number of hours to be regularly worked.

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 candidates offer letter.

Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total wellbeing. Learn more at theCapital One Careers website. Eligibility varies based on full or parttime status exempt or nonexempt 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 ator via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

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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).