Thinking Machines Lab
Research, Vision 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
- We're looking for new team members to advance the science of visual perception and multimodal learning.
- We think about how vision and language interact at scale.
- You'll work at the intersection of visual understanding, multimodal reasoning, and large-scale model training.
Responsibilities
- Own research projects on training and performance analysis of multimodal AI models.
- Work with our data infrastructure engineers, pretraining researchers and engineers, and product team to create frontier multimodal models and the products that leverage them.
- Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor.
- Research or engineering contributions in visual reasoning, spatial understanding, or multimodal architecture design.
- Experience developing evaluation frameworks for multimodal tasks.
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.
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.
- Curate and build large-scale datasets and evaluation benchmarks to advance vision capabilities.
- 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
- While we are looking for a person with expertise in multimodality, Thinking Machines Lab operates in a unified fashion and expects new hires to work across modalities as one team.
- The mission of Thinking Machines is to build AI that extends human will and judgment.
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.