Multimodal Vision Scientist & Systems Architect

Thinking Machines Lab; San Francisco (CA); On-site; USD 350,000 - 475,000; Full time

Benefits offered by this job

Generous health, dental, and vision benefits

Unlimited PTO

Paid parental leave

Relocation support if needed

Job summary

Thinking Machines Lab in San Francisco is looking for new team members to advance multimodal learning and visual perception science. This role involves developing AI architectures, datasets, and evaluation tools to fuse text and images effectively.

The ideal candidate has a Bachelor's degree in a related field, is proficient in Python, and possesses an ability to analyze experiments with empirical rigor. Generous benefits and a salary range of $350K - $475K are offered.

Qualifications

• Demonstrated research judgment and empirical rigor in machine learning experiments.
• Comfortable with debugging distributed training and writing scalable code.
• Strong theoretical and empirical grounding in relevant disciplines.

Responsibilities

• Own research projects on multimodal AI model training and performance analysis.
• Curate and build datasets to advance vision capabilities.
• Collaborate with data infrastructure engineers and pretraining researchers.
• Publish and present research to share insights with the community.

Skills

Ability to design, run, and analyze experiments thoughtfully

Understanding of machine learning fundamentals

Proficiency in Python

Clarity in communication

Education

Bachelor’s degree in Computer Science, Machine Learning, Physics, Mathematics, or related discipline

Tools

Deep learning frameworks (e.g., PyTorch, TensorFlow, JAX)

Job description

Thinking Machines Lab in San Francisco is looking for new team members to advance multimodal learning and visual perception science. This role involves developing AI architectures, datasets, and evaluation tools to fuse text and images effectively.

The ideal candidate has a Bachelor's degree in a related field, is proficient in Python, and possesses an ability to analyze experiments with empirical rigor. Generous benefits and a salary range of $350K - $475K are offered.