Member of Technical Staff, Applied Research
$150k - $350kDavid Joseph & Company
Job Description
Job Description
San Francisco, CA · On-site · Full-time Compensation: $150,000–$350,000 + 0.05%–0.4% equity
About the CompanyOur 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 RoleAs 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
- A research background, able to work independently on problems
- Experience at top tech companies or research labs
- Direct experience in computer vision or robotics
- 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
- 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
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