Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name: Capital One

Job Title: Senior Lead Engineer - Generative AI Product Engineering (Remote-Eligible) Location: San Francisco, California, United States of America Job Description: At Capital One, our mission is to create trustworthy, reliable, and human-in-the-loop AI systems that change banking for the better. We have been at the forefront of using machine learning to deliver real-time, intelligent, and automated customer experiences. We believe in bringing humanity and simplicity to banking through our applications of AI & ML. With our investments in public cloud infrastructure and machine learning platforms, we have the unique opportunity to harness the power of AI. Join our team and help reimagine how we serve our diverse range of customers and businesses. Responsibilities: - Build and maintain APIs and SDKs to train, fine-tune, and access AI models at scale. - Work with a team of world-class AI engineers and researchers to design and implement key API products and services. - Architect, build, and deploy well-managed core APIs and SDKs for accessing Large-Language Models (LLMs) and Foundation Models (FMs). - Design APIs for performance, real-time applications, scale, ease of use, and governance automation. - Develop application-specific interfaces that leverage LLMs and FMs to enhance the associate and customer experience. - Enable users to build new AI capabilities. - Develop tools and processes to monitor API access patterns and operational health. - Implement AI safety and guardrails in the API layer. - Collaborate with researchers to continuously improve product experiences and foundational capabilities. Basic Qualifications: - Bachelor’s degree in Computer Science, Computer Engineering, or a technical field. - At least 8 years of experience designing and building data-intensive solutions using distributed computing and cache optimization techniques. - At least 4 years of experience programming with Python, Go, Scala, or Java. - At least 3 years of experience building, scaling, and optimizing training and inferencing APIs for deep neural networks. Preferred Qualifications: - Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users. - Ability to work in fast-paced and ambiguous environments with competing priorities and deadlines. - Experience collaborating with researchers and engineers to improve product experiences and foundational capabilities. - Familiarity with deploying large neural network models in demanding production environments. - Experience with API security, observability, cloud access control, and privacy best practices. Salary Range: - New York City (Hybrid On-Site): $230,100 - $262,700 for Sr. Lead Machine Learning Engineer. - San Francisco, California (Hybrid On-Site): $243,800 - $278,200 for Sr. Lead Machine Learning Engineer. - Remote (Regardless of Location): $195,000 - $222,600 for Sr. Lead Machine Learning Engineer. *Please note that salaries for part-time roles will be prorated based on the agreed-upon hours. Benefits: Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Learn more at the Capital One Careers website. At Capital One, we are committed to diversity and inclusion in the workplace. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to sex, 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 prohibited by applicable laws. If you require an accommodation during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. We will ensure your confidential information is handled with care to provide needed reasonable accommodations. For technical support or questions about our recruiting process, please email [email protected]. Note: Capital One Financial is made up of several entities. Job positions advertised outside of the United States are specific to the corresponding entity in that location. No agencies, please.