We offer a Part-Time Associate Program which allows associates in the program to work 20 to 32 hours per week at a prorated salary, please mention this in your application processOverviewSr. Staff AI Engineer (Remote Eligible)At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. 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. We are committed to continuing to build world-class applied science and engineering teams to deliver 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.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.What You'll Do:Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scaleLead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wideDrive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architectureMentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadershipCapital One is open to hiring a Remote Employee for this opportunity.Basic Qualifications:Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologiesAt least 10 years of experience programming with Python, Go, Scala, CUDA, or JavaPreferred Qualifications:Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systemsDemonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP levelExperience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or GolangExperience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and costExperience in building agentic AI systems and agentic workflowsPassion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in productionExcellent communication and presentation skills, with the ability to articulate complex AI concepts to peersRecognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadershipDemonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory complianceExperience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teamsProven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impactExperience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
7 days ago