$192K – $256K/yr
Machine Learning Engineer, Physical Sciences AI
Role overview
Job description
Your Impact at LILA Lila's Physical Science AI team uses AI to accelerate discovery in materials and chemistry. It’s a core part of Lila's mission to build Scientific Superintelligence and solve some of humanity’s most important challenges. As a Machine Learning Engineer, you’ll be the bridge between research and production. You’ll take models and agentic workflows built by our scientists and ML researchers and turn them into reliable, scalable systems that run on our platform every day. What matters most is strong software engineering and real experience shipping ML systems to production. A scientific background is a plus, but curiosity and a passion for discovery are what will make you thrive here. What You'll Be Building Own models and agentic workflows end to end, from research code to a deployed, monitored service. Build the integration layer that lets AI agents reliably call models
…About this listing
- Source: Lila Sciences's official careers site (via Greenhouse) · last confirmed on the source 27 Oct 2026
- Posted 3 Feb 2026
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How Machine Learning Engineer demand looks in United States
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What they are looking for
Skills & requirements
Qualification
What You’ll Need to Succeed BS/MS/PhD in Computer Science, Engineering, or a related quantitative field, or equivalent industry experience; If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply
Department · Physical Sciences AI
Hiring company
Lila Sciences
LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™
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