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Active8mo ago

Machine Learning Engineer, Physical Sciences AI

Lila Sciences·📍 Cambridge, Ma Usa, United States

Employment

Full-Time

Work mode

On-site

Experience

Not stated

Salary

$180K – $298K/yr

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

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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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Role market pulse

How Machine Learning Engineer demand looks in United States

57/100 · steady

Live jobs

171

Posted 30d

60

30d movement

+9.1%

Remote share

36.8%

Salary listed

83%

Salary trend 1Y

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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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