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Posted August 11, 2026

Member of Technical Staff, Applied Research

David Joseph & Company
San Francisco, CA, US Full Time
150000USD - 350000USD per year

Job Description

Job Description

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

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