Research, Audio Expertise
Thinking Machines Lab · San Francisco
Frontier labonsite$400k–$500k
At a glance
Highlights
- Design and train large-scale models that natively support audio input and output.
- Own research on audio training, low-latency inference and responsiveness.
- Shape fundamental AI capabilities used by millions of people.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A rigorous audio researcher who blends deep theoretical exploration with hands-on experimentation and wants to shape natural human-AI communication through frontier multimodal models.
Requirements
- Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor
- Understanding of machine learning fundamentals, large-scale training, and distributed compute environments
- Proficiency in Python and familiarity with at least one deep learning framework
- Comfortable with debugging distributed training and writing code that scales
- Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or related discipline
- Clarity in communication, an ability to explain complex technical concepts in writing
- 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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