Member of Technical Staff, Applied Research San Francisco, CA 150K-350K

Location: San Francisco CA (in-person 5 days a week)

Compensation: $150000 - $350000 per year plus equity

Join an AI video data lab as an Applied Research Engineer building high-performance building blocks and large-scale pipelines to understand video with high precision at internet scale.

What Youll Own

- Build high performance building blocks and large-scale pipelines for video understanding at internet scale

- Tackle ambiguous research problems across computer vision audio processing and text processing domains

- Work with models and APIs squeezing maximum performance through clever pre and post-processing parallelism pipelining inference optimization and fine-tuning

- Break problems down from customer-level impact to the necessary technical building blocks

- Build and scale your own products as the team identifies new problems to solve

What Youll Bring

- 2 years of experience in computer vision or audio processing

- Strong Python development skills with hands-on experience in PyTorch or similar ML frameworks

- Excellent communication skills especially with customers and external teams

- A track record of writing clean maintainable code

- Deep passion for the video domain and media technologies

- Motivation to build end-to-end products not just train models

Nice to Have

- Active contributor to open source projects

- Experience as an early hire at a startup

This is a chance to work on cutting-edge research-heavy problems at the frontier of video AI with significant autonomy and the opportunity to shape your own products as the company scales.