Computer Vision Research Engineer

- Do you have hands-on experience with computer vision and deep learning models?
- Have you designed or modified vision model architectures, rather than only writing code around existing models?
- Do you have strong PyTorch experience across training, experimentation and model development?
- Have you worked on core CV tasks such as depth, optical flow, segmentation, object detection, denoising, super-resolution or frame interpolation?
- Are you interested in deploying models onto highly constrained embedded or edge hardware?






If you answer yes to all of the above,, then this confidential role could be the one for you.





This is a rare opportunity to join a small, well-funded technology company working on cutting-edge computer vision for real-world low-light imaging. The successful candidate will design, train and deploy high-performance vision models, with a focus on improving accuracy and latency under strict hardware, power and frame-rate constraints.





The company is based in San Francisco, with hybrid / onsite required for new graduates and fully remote flexibility for experienced hires. Salary on offer is up to $240,000.