Research Engineer

🎥 Applied Research Engineer | Video AI | San Francisco (In-Person)

We’re a video intelligence company building next-generation systems that help the world better understand and work with video. With video now making up 80% of internet traffic and fueling industries from creative tools and social media to robotics, gaming, and AR/VR - its impact is accelerating rapidly with AI.

We develop novel video understanding systems with unmatched quality and efficiency, partnering with leading AI labs to curate and annotate the highest-quality video datasets at internet scale. Backed by top-tier investors (Matrix Partners, Swift Ventures, Y Combinator, AI Grant), we’ve scaled to millions in recurring revenue as a tight-knit team of 11, growing 25% month over month.

As an Applied Research Engineer, you’ll:

• Build high-performance pipelines and systems for video understanding at scale
• Solve open-ended research problems with clever pre/post-processing, pipelining, inference optimization, and fine-tuning
• Work hands-on with models + APIs to maximize performance and precision
• Collaborate directly with top AI video labs and customers shaping the future of video

What We’re Looking For:

• 2+ years experience in computer vision or audio processing
• Strong Python developer with experience in PyTorch or similar ML frameworks
• Clear communicator, comfortable collaborating with customers + external teams
• Writes clean, maintainable code (bonus: GitHub/portfolio projects)
• Passion for video + media technologies, motivated by building end-to-end products
• Bonus: Open-source contributions or early startup experience

📍 Location: In-person at our San Francisco HQ