Real-Time AI Research Scientist - Interactive Inference

Reactor; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Generous health, dental, and vision coverage

Visa sponsorship and relocation support

Competitive salary

Job summary

Reactor is seeking a Research Scientist in San Francisco to lead efforts in real-time interactive generation. The role involves working closely with various engineering teams to address challenges in model serving and will require publishing results at top conferences.

The ideal candidate will hold a PhD in relevant fields with a strong research track record, and proficiency in PyTorch and/or JAX. This position offers competitive compensation, health benefits, and support for relocation.

Qualifications

• A track record of research in real-time or streaming video generation.
• Fluent in PyTorch and/or JAX and comfortable with large-scale infrastructure.
• Ability to reason about memory bandwidth.

Responsibilities

• Lead a research agenda on real-time interactive generation.
• Partner with engineers to address bottlenecks in serving models.
• Publish and present research at top conferences.

Skills

Research in real-time video generation

Proficiency in PyTorch

Understanding of latency and memory issues

Experience with ML inference,

Education

PhD in ML, computer vision, graphics, robotics, or equivalent

Tools

CUDA

JAX

Job description

Reactor is seeking a Research Scientist in San Francisco to lead efforts in real-time interactive generation. The role involves working closely with various engineering teams to address challenges in model serving and will require publishing results at top conferences.

The ideal candidate will hold a PhD in relevant fields with a strong research track record, and proficiency in PyTorch and/or JAX. This position offers competitive compensation, health benefits, and support for relocation.