Senior/Staff Machine Learning Engineer, General Agents, Enterprise GenAI

📋 Description

• Design and build end-to-end agent systems with LLMs, tool use, memory, and control.
• Build scalable agent architectures deployable across many customers with varying data.
• Develop evaluation frameworks, datasets, environments, and metrics.
• Collaborate with product managers, customers, data annotators, and other teams.
• Productionize planning, multi-step reasoning, and tool-use into maintainable systems.
• Own deployment, monitoring, and iteration of agent systems and improvements.

🎯 Requirements

• 5+ years building and deploying ML/AI systems in production.
• Bachelor’s/Master’s in CS, ML, or equivalent practical experience.
• Deep understanding of modern LLMs, prompt and system-level optimization.
• Proficiency in Python with production-quality, testable code.
• Experience integrating models with tools, APIs, databases, services.
• Ability to operate in ambiguous spaces balancing research and product.

🎁 Benefits

• Comprehensive health, dental, and vision coverage
• Retirement benefits
• Learning and development stipend
• Generous PTO
• Potential commuter stipend