🌍 Machine Learning Engineer | Video AI | San Francisco (onsite)
We’re building the systems that power the next generation of video intelligence. As video continues to dominate the internet - driving entertainment, robotics, AR/VR, and social platforms - the demand for smarter, faster, and more scalable video infrastructure has never been higher.
Our team works with leading AI companies to develop large-scale data pipelines and tools that enable advanced video understanding. With rapid growth, strong investor backing, and a tight-knit team, we’re scaling fast and looking for engineers who want to push technical boundaries.
💡 Why join
- Work on cutting-edge AI systems for video, audio, and text understanding
- Build end-to-end pipelines and high-performance ML building blocks
- Collaborate directly with researchers and engineers shaping next-gen video AI
- Be part of a high-growth, fast-moving team in San Francisco
🚀 What you’ll do
- Build and optimize pipelines to process video, audio, and text data at scale
- Apply and improve ML models with pre/post-processing, parallelism, and inference optimization
- Work on ambiguous research problems and find practical, scalable solutions
- Contribute to product-level systems, not just isolated models
💰 Compensation: Up to $250k base, depending on experience
If building high-performance AI systems for video excites you, we’d love to hear from you.
