Senior Lead- Machine Learning Engineering

We’re looking for a Senior Lead Engineer to join the Machine Learning Experience (MLX) team! As a Capital One Senior Lead Engineer, you'll be part of a team focusing on observability and model governance automation for cutting edge generative AI use cases.

• Architect and develop full stack solutions for monitoring, logging, and managing Generative AI, machine learning workflows and models.
• Architect, build and deploy well-managed core APIs and SDKs for observability of LLMs and proprietary Foundation Models including training, pre-training, fine-tuning and prompting.
• Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions to ensure ethical use, data integrity, and compliance with industry standards for Gen-AI.

• Master's Degree in Computer Science or a related field
• Minimum 12 years of experience in software engineering and solution architecture
• At least 8 years of experience designing and building data intensive solutions using distributed computing
• At least 8 years of experience programming with Python, Go, or Java
• Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, or similar, with a focus on adapting them for Gen AI systems.

• 401k matching
• Health insurance
• Flight privileges

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