Applied Research Engineer

About the Company (Confidential)

Our client is a cutting-edge AI research company specializing exclusively in video data —one of the fastest-growing and most technically demanding domains in machine learning. With just 12 team members , the company has already :

• Partnered with leading AI labs
• Achieved multi-million dollar revenue last quarter , and
• Recently raised a Series A from top-tier investors , including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant

They are solving one of the biggest bottlenecks in AI today : creating high-quality, scalable training datasets for video modeling . Their work spans exabyte-scale infrastructure, novel video understanding techniques, and multi-modal data pipelines across video, audio, and text.

This is a rare opportunity to join an elite, deeply technical, and extremely high-leverage team at the frontier of AI research.

The Opportunity

As an Applied Research Engineer , you will build the high-performance infrastructure, pipelines, and research-driven components that push forward the state of video understanding at internet scale. This is an in-person role at the San Francisco HQ, working closely with founders and senior researchers.

You'll operate end-to-end across ambiguous, open-ended research problems—designing clever pre / post-processing systems, optimizing inference, parallelizing large-scale workloads, and contributing to the core technical foundation of next-generation video modeling.

This is a high-ownership role ideal for someone who thrives in low-structure environments, loves working directly with models and APIs, and enjoys extracting every ounce of performance through deep problem-solving.

What You'll Do

Requirements

Bonus Points :

Compensation & Benefits