Capital One Hiring for Senior Director, Data Science, Applied Research at San Francisco, CA Full Time

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:Customer first. 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 LLMs or large computer vision models as well as expertise in one or more key subdomain such as: 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 delivered libraries, platform level code or solution level code to existing products.A professional with a track record of coming up with new 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:Bachelor’s Degree plus 9 years of experience in data analytics, or Master’s Degree plus 7 years of experience in data analytics, or PhD plus 5 years of experience in data analyticsAt least 4 years of experience in applied AI ResearchAt least 2 years of experience with Deep LearningAt least 2 years of experience in applying research to production problemsAt least 2 years experience in developing and debugging in C/C++, Python, or C#Preferred Qualifications:Master’s Degree or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)At least 5 years of experience in AI ResearchFamiliar with Financial services data setsAt least 2 years experience with LLM practices such as prompt engineering, supervised fine tuning, distillationAt least 4 years experience showing first-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)At least 5 years of experience in interdisciplinary research collaborationsAt least 4 years of experience in creating high-performance implementations of deep learning algorithmsSuccessfully has mentored senior engineers across organizationsCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time 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 part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $315,100 – $359,700 for Sr Dir, Data ScienceSan Francisco, California (Hybrid On-Site): $333,900 – $381,000 for Sr Dir, Data ScienceCandidates 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 candidate’s 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.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.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 at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One’s recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.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).