Lead AI Engineer (FM Hosting, LLM Inference) - job post
$197,300 – $225,100 USD
Tech Stack
Responsibilities
- Partner with a cross-functional team to deliver AI-powered products that change how associates work and customers interact with Capital One.
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, and more.
- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch.
- Invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large scale production AI systems.
- Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.
Soft Skills
AIMachine LearningCross-Functional CollaborationTechnical Decision-MakingMentoring
Benefits
- 401k
- Health Insurance
- Dental
- Vision
- Life Insurance
- Disability Insurance
- Mental Health
Culture
Cross-Functional TeamsCustomer-ObsessedImpact-Oriented
Requirements
Required: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Preferred: Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Regions: Us
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About Capital One
Industry: fintech
Size: enterprise
Capital One is a financial services company seeking to transform its technology space by building innovative solutions and meeting customer needs, particularly in their travel product offerings.
View company profile →Compensation
Base salary: $197,300 – $225,100 USD
Bonus: performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)