Destava

ML Research Engineer, Performance Optimization

Lila Sciences is hiring for ML Research Engineer, Performance Optimization in Cambridge, MA USA; San Francisco, CA USA. Mid level, $148k–$240k a year stated. First seen November 11, 2026; open as of November 13, 2026. Jobs taken straight from company career pages — no aggregator in between.

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Company
Lila Sciences
Where
Cambridge, MA USA; San Francisco, CA USA
Level
Mid
Pay stated
$148k–$240k a year
First seen
November 11, 2026
Listed via
Greenhouse

What the posting says

Experience with LLM inference libraries such as vLLM and training libraries such as Megatron, including usage and throughput optimization. Experience running LLM inference and/or training at scale across multi-node GPU clusters. Familiarity with core concepts in reinforcement learning. Proven track record of software engineering excellence — clean APIs, well-tested code, thoughtful abstractions. Hands-on experience supporting and maintaining production libraries used by other engineers and researchers. Strong CI/CD skills — experience designing integration test suites, build pipelines, and…

Read more and apply on Lila Sciences' site

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