Research, Post-Training
San Francisco, CA$350k - $475kfull-timePosted 11mo ago
About the role
Research, Post-Training role focused on bridging raw model intelligence with useful, safe, and human-friendly systems. Combines fundamental research and practical engineering to shape how AI learns, write high-performance code, and publish research that advances the community.
Responsibilities
- Develop and tune the recipe: iterate on post-training recipes, consisting of a collection of datasets, training stages, and hyperparameters. Measure how recipe choices affect various metrics.
- Iterate on evals: define, optimize, and ensure evaluations capture meaningful signals beyond just numbers.
- Debug and understand: diagnose and understand results that don’t initially make sense and improve training configurations.
- Scale and explore: scale existing methodologies and develop new ones, including exploring different training datasets.
- Publish and present research that moves the entire community forward. Share code, datasets, and insights.
Qualifications
- Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or related discipline with strong theoretical and empirical grounding.
- Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing scalable code.
- Clear communication skills and ability to explain complex technical concepts in writing.
Skills
Required:PythonDeep Learning FrameworksExperimentation & EvaluationCommunication
Benefits
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Last updated Jul 8, 2026. Interested? Apply on the company site.
About Thinking Machines Lab
Connectionism: Research Blog by Thinking Machines Lab
Thinking Machines Lab is an artificial intelligence research and product company. We’re building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
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