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

Lead Engineer - Generative AI Product Engineering (Remote-Eligible) Our mission at Capital One is to create trustworthy, reliable, and user-friendly AI systems that improve banking for everyone. We have been at the forefront of using machine learning to provide real-time, intelligent, and automated customer experiences. Our applications of AI & ML have brought simplicity and humanity to banking, from helping customers with unusual charges to answering their questions in real time. With our investments in cloud infrastructure and machine learning platforms, we are uniquely positioned to harness the power of AI. We are dedicated to building exceptional science and engineering teams to continue providing groundbreaking product experiences and scalable AI infrastructure. Join us at Capital One, and help us revolutionize how we serve our customers and businesses with the transformative capabilities of emerging AI technologies. We are currently seeking an experienced Lead Generative AI Engineer to help develop and maintain APIs and SDKs for training, fine-tuning, and accessing AI models at scale. You will be part of our Enterprise AI team and collaborate with world-class AI engineers and researchers to design and implement crucial API products and services that enable real-time customer-facing applications. Examples of projects you will work on include: - Architect, build, and deploy well-managed core APIs and SDKs for accessing Large-Language Models (LLMs) and our proprietary Foundation Models (FMs), including training, fine-tuning, and prompting tasks. - 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 customer and associate experience. - Enable users to build new GenAI capabilities. - Develop tools and processes to monitor API access patterns and operational health. - Design and implement AI safety and guardrails in the API layer, collaborating closely with researchers. Basic Qualifications: - Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field. - At least 6 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 2 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 Natural Language Processing (NLP), speech, computer vision, or recommendation systems serving millions of users. - Ability to work in an environment with ambiguity, competing priorities, and deadlines. Experience at tech and product-driven companies/startups is preferred. - Ability to collaborate closely with researchers and engineers to improve a product experience while developing 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. At this time, Capital One will not provide employment authorization sponsorship for this position. We offer comprehensive benefits that support your well-being, including health, financial, and other benefits. To learn more, visit our Capital One Careers website. Eligibility varies based on employment status. Salaries for this role range from: - New York City (Hybrid On-Site): $197,400 - $225,300 - San Francisco, California (Hybrid On-Site): $209,200 - $238,700 - Remote (Regardless of Location): $167,400 - $191,000 Note that salaries for part-time roles will be prorated based on agreed-upon hours. We are 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, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited by applicable law. We promote a drug-free workplace and comply with the requirements of applicable laws regarding criminal background inquiries. If you require an accommodation during the application process, please contact Capital One Recruiting. All provided information will be kept confidential and used only as necessary to provide reasonable accommodations. For technical support or questions about our recruiting process, please email [email protected]. Capital One is not responsible for third-party products, services, or information available through this site. Please note that specific positions are for Capital One entities in different countries (Canada, United Kingdom, Philippines).