Research, Finetuning Science
Thinking Machines Lab · San Francisco
Frontier labonsite$350k–$475k
At a glance
Highlights
- Advance frontier fine-tuning science powering Tinker's post-training engine.
- Ship LoRA and RL research into product defaults and cookbook recipes.
- Improve stability, efficiency of large-scale fine-tuning and RL runs.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
Empirically-grounded researcher who loves customization and open science, eager to turn finetuning insights into reliable tools that let people make models their own.
Requirements
- Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or related discipline
- Proficiency in Python and familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX)
- Comfort debugging distributed training and writing code that scales
- Clarity in communication and ability to explain complex technical concepts in writing
- Strong interest in mission to enable custom models
- visa sponsorship
- We sponsor visas
Lab profile
About Thinking Machines Lab
Builds frontier AI that extends human will and judgment through customizable models and interfaces.
What they build
- Inkling frontier models
- Tinker model customization
- Human-AI communication interfaces
Known for
- Frontier model training
- Post-training and reinforcement learning
- Evaluation infrastructure
- GPU supercomputing and reliability
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