Machine Learning Engineer, Physical Sciences AI

Highlights

• Turn research models and agentic workflows into reliable production systems.
• Build AI integration layer connecting agents to models, tools and simulations.
• Accelerate discovery in materials and chemistry with Scientific Superintelligence.

What they offer

• Bonus potential and generous early-stage equity
• Medical, dental and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with company holidays
• Paid parental leave
• Educational assistance program
• Commuter benefits and subsidized lunch

Ideal candidate

Strong software engineer who loves shipping ML systems to production and thrives bridging research and engineering. Curious about science and discovery, collaborative across disciplines, and motivated by real-world impact.

Requirements

• BS/MS/PhD in Computer Science, Engineering, or related quantitative field, or equivalent industry experience
• Strong Python software engineering fundamentals (testing, packaging, typing) and experience with ML frameworks (e.g., PyTorch, Hugging Face)
• Experience deploying AI/ML services in cloud-based infrastructure (e.g., FastAPI, containers, orchestration, databases)
• Hands-on experience bringing models to production with strong debugging, profiling, and optimization skills
• Clear communication and collaboration in cross-functional settings