Member of Technical Staff, Applied Research

San Francisco, CA

• On-site
• Full-time Compensation: $150,000–$350,000 + 0.05%–0.4% equity

About The Company

Our client is the only AI research lab exclusively focused on video data, combining exabyte-scale video infrastructure, novel video-understanding techniques, and dozens of data sources to build datasets that push the frontier of video modeling. Video makes up :80% of internet traffic and underpins creativity, communication, gaming, AR/VR, and robotics; the client targets the biggest bottleneck to progress in those domains — high-quality training data. It has partnered with top AI labs and generated meaningful revenue last quarter with a team of just 12.

Founded 2022

• :12 people (Series A)
• Industry: AI Tools

The Role

As an applied research engineer, you'll build high-performance building blocks and large-scale pipelines to understand video with high precision at internet scale — frequently working on ambiguous research problems and finding clever techniques to solve them, across computer vision, audio processing, and text processing.

Tech stack: Python, PyTorch (or similar ML frameworks).

Requirements

• 3+ years of experience in computer vision or audio processing
• A strong Python developer with hands-on PyTorch (or similar ML framework) experience
• Excellent communication with customers and external teams
• Writes clean, maintainable code
• A deep passion for the video domain and media technologies
• Motivated by building end-to-end products
• Breaks problems down from customer-level impact to building blocks
• In-person at the SF HQ

Nice to Haves

• A research background, able to work independently on problems
• Experience at top tech companies or research labs
• Direct experience in computer vision or robotics

Why Join

• Frontier video AI: the only research lab working exclusively on video data, partnering with top AI labs at internet scale
• A tiny, elite team: :12 people, revenue-generating, recently raised a Series A from Tier 1 firms
• Real ownership: build research building blocks and pipelines that shape what downstream AI models and agents can do

Details

• Location — San Francisco, CA
• Work policy — On-site
• Compensation — $150,000–$350,000 + 0.05%–0.4% equity
• Visa sponsorship — Available (H-1B, O-1, OPT)
• Employment type — Full-time