Research, Vision Expertise
$350k - $475k • San Francisco • FullTime
Posted 2mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Research Engineer
About the job
Thinking Machines is seeking individuals to advance the science of visual perception and multimodal learning, focusing on the interaction between vision and language at scale. The role involves designing architectures that fuse pixels and text, building datasets and evaluation methods for real-world comprehension, and developing representations that ground abstract concepts in the physical world. This position blends fundamental research with practical engineering, requiring high-performance code and the ability to conduct deep theoretical exploration alongside hands-on experimentation to shape the foundations of AI learning.
Responsibilities
- Own research projects on training and performance analysis of multimodal AI models.
- Curate and build large-scale datasets and evaluation benchmarks to advance vision capabilities.
- Collaborate with data infrastructure engineers, pretraining researchers and engineers, and the product team to create frontier multimodal models and leverage them in products.
- Publish and present research, sharing code, datasets, and insights to accelerate progress in industry and academia.
Requirements
- Ability to design, run, and analyze experiments 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 (e.g., PyTorch, TensorFlow, or JAX).
- Comfortable with debugging distributed training and writing scalable code.
- Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline.
- Clarity in communication and ability to explain complex technical concepts in writing.
- Research or engineering contributions in visual reasoning, spatial understanding, or multimodal architecture design (preferred).
- Experience developing evaluation frameworks for multimodal tasks (preferred).
- Publications or open-source contributions in vision-language modeling, video understanding, or multimodal AI (preferred).
- Strong grasp of probability, statistics, and ML fundamentals (preferred).
- PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline, or equivalent industry research experience (preferred).
Benefits
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support