Lead AI Engineer at Capital One
Overview
At Capital One, we are dedicated to creating responsible and reliable AI systems, transforming banking for the better. With a legacy of pioneering machine learning to enhance real-time, personalized customer experiences, we are investing in cutting-edge technology and top-tier talent to lead in AI innovation.
Our AI applications, from detecting unusual charges to providing instant customer support, exemplify simplicity and humanity in banking. We aim to build world-class applied science and engineering teams to deliver advanced capabilities, innovative product experiences, and scalable AI infrastructure.
Join us to leverage emerging AI technologies to redefine our service for customers and businesses.
Team Description
The Intelligent Foundations and Experiences (IFX) Team
This team is pivotal in realizing Capital One’s AI vision. We collaborate across departments to advance AI science and engineering, deploying proprietary solutions that deliver value to millions.
Our AI models and platforms empower teams to responsibly implement AI at scale, ensuring impactful results.
Responsibilities
- Partner with cross-functional teams (engineers, scientists, managers) to deliver AI products that transform customer and employee interactions.
- Design, develop, test, and support AI software components: foundation models, large language models, similarity search, guardrails, evaluation, governance, observability.
- Utilize open-source and SaaS AI tech such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch.
- Innovate in LLM optimization to improve scalability, cost, latency, throughput.
- Contribute to the vision and roadmap of AI systems.
- Stay updated with latest research; apply novel techniques in production.
Candidate Profile
- Passionate about building high-quality systems and impactful solutions.
- Curious, thorough, and able to articulate findings clearly.
- Deep technical expertise in engineering, mathematics, hardware, and AI.
- Resilient and innovative, capable of forging new paths.
Basic Qualifications
- Bachelor's in CS, Engineering, or AI + 4+ years or Master's + 2+ years experience in AI/ML.
- Minimum 4 years programming in Python, Go, Scala, or Java.
Preferred Qualifications
- 6+ years deploying scalable responsible AI on cloud platforms.
- Experience with AI services, algorithms, and optimization techniques.
- Master’s in relevant field.
Salary & Benefits
Locations & Salary Ranges:
- Cambridge, MA: $193,400 - $220,700
- McLean, VA: $193,400 - $220,700
- NYC & San Francisco & San Jose: $211,000 - $240,800
Additional perks include performance incentives, health and financial benefits, and a commitment to diversity.
Application Details
- Applications open for at least 5 business days.
- Equal opportunity employer; all qualified applicants considered.
- Contact info for accommodations and support.