Senior / Staff Machine Learning Engineer, Applied AI
Hybrid (Cambridge, MA; San Francisco, CA)$180k - $298kfull-timePosted 3mo ago
About the role
Senior/Staff Machine Learning Engineer role focusing on LLM training, evaluation, and production-oriented ML systems within Lila’s Applied AI org. Bridge between research and engineering to turn frontier model capabilities into reliable, production-ready workflows for customer-specific scientific use cases.
Responsibilities
- Close the last-mile gap between Lila AI model capabilities and customer-specific scientific workflows.
- Build evaluation loops that measure model quality, reliability, and customer fit.
- Design experiments to improve model performance across applied customer use cases.
- Feed customer learnings, data signals, and evaluation results back into the Lila AI model improvement cycles.
- Partner with AI researchers to translate model improvements into usable capabilities.
- Work with Software to integrate model behavior into end-to-end product workflows.
- Debug model failures using traces, evaluations, customer context, and scientific feedback.
- Build reusable tooling for model adaptation, evaluation, and deployment workflows.
Qualifications
- Strong experience building, training, adapting, or evaluating machine learning models.
- Strong software engineering skills in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow.
- Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)
- Experience designing experiments, evaluation metrics, or test sets for model performance.
- Ability to debug model behavior using data, traces, logs, and qualitative feedback.
- Experience working across research and engineering teams to move ML capabilities into usable systems.
- Familiarity with large language models, multi-modal models, or agentic AI systems.
- Clear communication skills for translating customer needs into technical model improvements.
Skills
Required:Machine learning model developmentPythonML frameworksDistributed trainingExperiment designModel debuggingCross-functional collaborationCommunication
Benefits
- U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
Last updated Jul 29, 2026. Interested? Apply on the company site.
About Lila Sciences
Pioneering Scientific Superintelligence
Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.
Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
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