AI Systems Analyst (Apply in minutes)

NYC 299 Park Avenue (22957), United States of America, New York, New YorkApplied Researcher IAt Capital One, we are creating trustworthy and reliable AI systems, changingbanking for good. For years, Capital One has been leading the industry inusing machine learning to create real-time, intelligent, automated customerexperiences. From informing customers about unusual charges to answering theirquestions in real time, our applications of AI & ML are bringing humanity andsimplicity to banking. We are committed to building world-class appliedscience and engineering teams and continue our industry leading capabilitieswith breakthrough product experiences and scalable, high-performance AIinfrastructure. At Capital One, you will help bring the transformative powerof emerging AI capabilities to reimagine how we serve our customers andbusinesses 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 atCapital One to life. Our work touches every aspect of the research life cycle,from partnering with Academia to building production systems. We work withproduct, technology and business leaders to apply the state of the art in AIto our business. In this role, 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.
• 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 it’s about making the right decision for our customers.
• 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.
• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source 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, self-supervised 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 long-running 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
• PhD focus on NLP or Masters with 5 years of industrial NLP research experience
• Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training 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 andor publications on one of the following topics : Model Sparsification, Quantization, Training ParallelismPartitioning Design, Gradient Checkpointing, Model Compression
• Experience optimizing training for a 10B model
• Deep knowledge of deep learning algorithmic andor optimizer design
• Experience with compiler design
• Finetuning
• PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning)
• Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance
• Experience deploying a fine-tuned large language model _Capital One will consider sponsoring a new qualified applicant foremployment authorization for this position_The minimum and maximum full-time annual salaries for this role are listedbelow, by location. Please note that this salary information is solely forcandidates hired to perform work within one of these locations, and refers tothe amount Capital One is willing to pay at the time of this posting. Salariesfor part-time roles will be prorated based upon the agreed upon number ofhours to be regularly worked.New York, NY : 234,000 - 267,000 for Applied Researcher ICambridge, MA : 214,500 - 244,800 for Applied Researcher ISan Francisco, CA : 234,000 - 267,000 for Applied Researcher I McLean, VA : 214,500 - 244,800 for Applied Researcher ISan Jose, CA : 234,000 - 267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay rangeassociated with that location, and the actual annualized salary amount offeredto any candidate at the time of hire will be reflected solely in thecandidate’s offer letter.This role is also eligible to earn performance based incentive compensation,which may include cash bonus(es) andor long term incentives (LTI). Incentivescould be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health,financial and other benefits that support your total well-being. Learn more atthe [Capital One Careers website](https : www.capitalonecareers.combenefits).Eligibility varies based on full or part-time status, exempt or non-exemptstatus, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed todiversity and inclusion in the workplace. All qualified applicants willreceive consideration for employment without regard to sex (includingpregnancy, childbirth or related medical conditions), race, color, age,national origin, religion, disability, genetic information, marital status,sexual orientation, gender identity, gender reassignment, citizenship,immigration status, protected veteran status, or any other basis prohibitedunder applicable federal, state or local law. Capital One promotes a drug-freeworkplace. Capital One will consider for employment qualified applicants witha criminal history in a manner consistent with the requirements of applicablelaws regarding criminal background inquiries, including, to the extentapplicable, Article 23-A of the New York Correction Law; San Francisco,California Police Code Article 49, Sections 4901-4920; New York City’s FairChance Act; Philadelphia’s Fair Criminal Records Screening Act; and otherapplicable federal, state, and local laws and regulations regarding criminalbackground inquiries.If you have visited our website in search of information on employmentopportunities 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](mailto : RecruitingAccommodation@capitalone.com).All information you provide will be kept confidential and will be used only tothe extent required to provide needed reasonable accommodations.For technical support or questions about Capital Ones recruiting process,please send an email to[_Careers@capitalone.com_](mailto : Careers@capitalone.com)Capital One does not provide, endorse nor guarantee and is not liable forthird-party products, services, educational tools or other informationavailable through this site.Capital One Financial is made up of several different entities. Please notethat any position posted in Canada is for Capital One Canada, any positionposted in the United Kingdom is for Capital One Europe and any position postedin the Philippines is for Capital One Philippines Service Corp. (COPSSC).