Lila Sciences

3 weeks ago

Senior / Staff Machine Learning Engineer, Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Build evaluation loops and production-oriented ML systems that turn frontier model capabilities into reliable workflows for customer-specific scientific needs. Partner with AI researchers and software teams to adapt Lila models, design experiments, improve model quality, integrate model behavior end to end, and debug failures using traces, evaluations, and scientific feedback. Join an early team with autonomy and compute to tackle frontier science problems.

Location: Cambridge, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Close the last-mile gap between AI model capabilities and customer scientific workflows.
•Build evaluation loops to measure model quality, reliability, and customer fit, and design experiments to improve performance across use cases.
•Feed customer learnings, data signals, and evaluation results back into 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 and debug model failures using traces and scientific feedback.

Pay and Benefits

Salary: USD 180,000 - 336,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental LeaveCommuter Benefits

Key Requirements

•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 including Megatron-LM, TorchTitan, DeepSpeed, or Ray.
•Experience designing experiments, evaluation metrics, or test sets to measure model performance.
•Ability to debug model behavior using data, traces, logs, and qualitative feedback, and collaborate across research and engineering teams.

Experience:LLM trainingModel evaluationDistributed MLProduction MLAgentic AI

Skills:CommunicationCollaborationDebuggingExperimentationCross-functional partnership

Languages:English

Tech Stack:PythonPyTorchJAXTensorFlowMegatron-LMTorchTitanDeepSpeedRayLarge language modelsMultimodal modelsAgentic AIRetrieval-augmented generationRLHFGRPOMixture-of-experts (MoE)Tool use

Company Brief

Lila Sciences

Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn

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Lila Sciences

3 weeks ago

Senior / Staff Machine Learning Engineer, Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Cambridge, San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Close the last-mile gap between AI model capabilities and customer scientific workflows.
•Build evaluation loops to measure model quality, reliability, and customer fit, and design experiments to improve performance across use cases.
•Feed customer learnings, data signals, and evaluation results back into 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 and debug model failures using traces and scientific feedback.

Pay and Benefits

Salary: USD 180,000 - 336,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceDisability InsuranceParental LeaveCommuter Benefits

Key Requirements

•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 including Megatron-LM, TorchTitan, DeepSpeed, or Ray.
•Experience designing experiments, evaluation metrics, or test sets to measure model performance.
•Ability to debug model behavior using data, traces, logs, and qualitative feedback, and collaborate across research and engineering teams.

Experience:LLM trainingModel evaluationDistributed MLProduction MLAgentic AI

Skills:CommunicationCollaborationDebuggingExperimentationCross-functional partnership

Languages:English

Tech Stack:PythonPyTorchJAXTensorFlowMegatron-LMTorchTitanDeepSpeedRayLarge language modelsMultimodal modelsAgentic AIRetrieval-augmented generationRLHFGRPOMixture-of-experts (MoE)Tool use

Company Brief

Lila Sciences

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn