Machine Learning Engineer

🌍 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.