Thinking Machines Lab
Research, Audio Expertise
San Francisco
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- For us, there is no separate multimodal work.
- We're looking for researchers to advance the frontier of audio capabilities.
- You'll explore how audio models enable more natural and efficient communication/collaboration, preserving more information and capturing user intent.
Responsibilities
- Own research projects on audio training, low-latency inference and conversational responsiveness.
- Design and train large-scale models that natively support audio input and output.
- Build and maintain audio data pipelines, including preprocessing, filtering, segmentation, and alignment for training and evaluation.
- Collaborate with data and infrastructure teams to scale audio training efficiently across distributed systems.
- Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor.
- We believe the future worth building is human, and we're hiring people who want to build it.
Requirements
- Clarity in communication, an ability to explain complex technical concepts in writing.
- You can look at experimental data and distinguish between real effects, noise, and bugs.
- Experience with real-time inference, streaming architectures, or optimization for low latency.
Nice to have
- we encourage you to apply even if you don't meet all preferred qualifications, but at least some:
Compensation
- Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.
Benefits
- Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
- Understanding of machine learning fundamentals, large-scale training, and distributed compute environments.
- Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).
- Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
Company info
- The mission of Thinking Machines is to build AI that extends human will and judgment.
- We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication.
Visa & Work Authorization
- We sponsor visas.
- While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.