Capital One

Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.. Capital One is open to hiring a Remote Employee for this opportunityBasic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 8 years of experience programming with Python, Go, Scala, or C/C. At least 1 year with LLM based conversational AI systemsPreferred Qualifications:Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.Experience architecting cloud systems for security, availability, performance, scalability, and cost.. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning.

director

Recruiting: Sales - CA - San Francisco, United States of America, San Francisco, CaliforniaDirector, Generative AI Platform - Agents and Tooling - People Leader (Remote Eligible)Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, 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. Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance 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.We are looking for an experienced Director, AI Platforms to help us build the foundations of our enterprise AI Capabilities. In this role you will work on developing generic platform services to support applications powered by Generative AI. You will develop SDKs and APIs to build agents, information retrieval and to build models as a service for powering generative AI workflows such as optimizing LLMs via RAG.Additionally you will manage end-to-end coordination with operations and manage creation of high quality curated datasets and productionizing of models along with working with applied research and product teams to identify and prioritize ongoing and upcoming services. Examples of what you’ll do:Develop abstracted platform services to support applications powered by Generative AIDevelop SDKs and APIs for our user community to power a wide range of applications such as information retrieval, fraud detection, AI Assistants, recommendations on our Gen AI platform. Design and build RAG service platform orchestrations including prompt engineering, guardrails, vector databases, API GroundingBuild out a Prompt management service via cross organizational partnershipsStay up-to-date with latest advancements in operationalization of machine learning and GenAI TechnologiesDesign and implement capabilities to support MLOps for foundation models.Capital One is open to hiring a Remote Employee for this opportunityBasic Qualifications:Bachelor's degree in Computer Science, Computer Engineering or a technical fieldAt least 8 years of experience programming with Python, Go, Scala, or C/C++At least 5 years of experience designing and building and deploying enterprise AI or ML applications.At least 3 years of experience implementing full lifecycle ML automation using MLOps(scalable development to deployment of complex data science workflows)At least 4 years of experience leading teams developing Machine Learning solutionsAt least 5 years of people management experience.At least 1 year with LLM based conversational AI systemsPreferred Qualifications:Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Strong problem solving and analytical skills with the ability to work independently with ownership, and as a part of a team with a strong sense of responsibilities.Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.Experience architecting cloud systems for security, availability, performance, scalability, and cost.Experience with delivering very large models through the MLOps life cycle from exploration to servingAbility to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core components of a Generative AI Platform.Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning.Experience working with applications that leverage LLMs and vertical integration with enterprise applicationsCapital 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): $274,800 - $313,600 for Director, Machine Learning EngineeringSan Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Director, Machine Learning EngineeringRemote (Regardless of Location): $232,900 - $265,800 for Director, Machine Learning Engineering

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