Research, Finetuning Science

Thinking Machines Lab
San Francisco
Workplace: HybridFull timeUSD 350,000 - 475,000 annuallyFunction: Research & Scientific (R&D)Education: bachelorsSkills: ["Communication","Debugging","Distributed training","Probability/stats fundamentals","Writing"]

Advance fine-tuning and frontier post-training techniques to improve Tinker's training defaults and the underlying post-training engine. You’ll work on LoRA and parameter-efficient fine-tuning, increase stability and reliability of large-scale fine-tuning and RL runs, and ship research that becomes product primitives and cookbook recipes. Collaborate with internal research teams and contribute to open-source resources through papers and technical blog posts.

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Thinking Machines Lab
Thinking Machines Lab
1 day ago

Research, Finetuning Science

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Last checked: 14 hours agoStatus: Live

Job Summary

Advance fine-tuning and frontier post-training techniques to improve Tinker's training defaults and the underlying post-training engine. You’ll work on LoRA and parameter-efficient fine-tuning, increase stability and reliability of large-scale fine-tuning and RL runs, and ship research that becomes product primitives and cookbook recipes. Collaborate with internal research teams and contribute to open-source resources through papers and technical blog posts.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Advance the science of fine-tuning and frontier post-training techniques, including LoRA and parameter-efficient fine-tuning.
  • •Improve customization quality, efficiency, and reliability and translate findings into Tinker training defaults and primitives.
  • •Ship research into product by codifying best-practice methods as recipes in the Tinker Cookbook.
  • •Improve stability, efficiency, and reliability of large-scale fine-tuning and RL runs on Tinker.
  • •Share learnings through papers, technical blog posts, and community contributions.

Pay and Benefits

Salary: USD 350,000 - 475,000 annually
Perks:Health InsuranceDentalVisionPaid LeavePaid ParentalRelocation

Key Requirements

  • •Bachelor’s degree (or equivalent) in Computer Science, Machine Learning, Physics, Mathematics, or a related field with strong theoretical and empirical grounding.
  • •Proficiency in Python and familiarity with deep learning frameworks (PyTorch, TensorFlow, or JAX), including comfort debugging distributed training and writing scalable code.
  • •Ability to clearly communicate complex technical concepts in writing.
  • •Strong theoretical and empirical grounding in fine-tuning and frontier post-training techniques.
  • •Strong interest in the mission to enable custom models.
Education:Bachelor's
Skills:CommunicationDebuggingDistributed trainingProbability/stats fundamentalsWriting
Tech Stack:PythonPyTorchTensorFlowJAXLoRARLHFRLAIF

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Thinking Machines Lab
Develops enterprise AI solutions, custom large language models, and ML platforms to help organizations deploy intelligent applications. Services include data engineering, model development, and AI consulting for scale and production readiness.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Mumbai, India
Website