Senior Customer Success Machine Learning Engineer, Federal

Weights & Biases, a Series C company with $250M in funding and over 200 employees, is seeking a Senior Customer Success Machine Learning Engineer to lead technical engagement for federal and public sector clients. This role, reporting to the Head of Field Engineering and partnering with the Head of Federal, is crucial for growing W&B's public sector practice. You'll lead pre- and post-sales efforts, working with federal ML teams on challenges in computer vision, NLP, and robotics, while helping clients understand AI assurance requirements. You'll guide clients from initial demo to full deployment, serve as a technical representative for government needs internally, and coordinate support for post-sale requirements aligned with government standards. Key responsibilities include designing demos, articulating ML pipeline best practices, managing pre-sales requirements, coordinating deployments, and acting as a bridge between federal customer needs and internal teams. You'll also guide customers in meeting federal regulations and stay informed on compliance standards. Requirements include up to 8 years of relevant experience, D.C. metro area location, proficiency in Python and ML frameworks, understanding of federal compliance, and excellent communication skills. The role offers competitive compensation ($139,000 - $186,000 annually plus variable compensation) and benefits including flexible time off, health coverage, remote work options, and equity.