Thinking Machines Lab

Research, Vision Expertise

San Francisco

H1B sponsorship available$350k-$475kDetected 78 days ago

PythonExpressMachine LearningDeep LearningTensorFlowPyTorchStatisticsA/B TestingLogisticsResearchCommunication

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.

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.

Clarity in communication, an ability to explain complex technical concepts in writing.

we encourage you to apply even if you don't meet all preferred qualifications, but at least some:
A strong grasp of probability, statistics, and ML fundamentals.
You can look at experimental data and distinguish between real effects, noise, and bugs.
or, equivalent industry research experience.

Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.

Depending on background, skills and experience, the expected annual salary range for this position is $350,000 - $475,000 USD.

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.

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.

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.
We sponsor visas.

This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.