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 An AI research company building large-scale datasets and infrastructure for video understanding — work that sits at the frontier of video modeling and powers applications across creativity, communication, gaming, AR/VR, and robotics. The team partners with leading AI labs, operates at internet scale, and is generating real revenue with a small, senior team. Founded 2022 · ~12 people · Industry: AI Tools / Video data. 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. The work often means tackling ambiguous research problems and finding clever techniques to solve them, spanning computer vision, audio processing, and text processing. You're likely a strong fit if you're comfortable working with models and APIs and squeezing every drop of performance out of them. What you'll be doing Build high-performance research building blocks and large-scale video understanding pipelines Optimize models and APIs through pre/post-processing, parallelism, pipelining, inference optimization, and occasional fine-tuning Work across computer vision, audio processing, and text processing domains Take problems from ambiguous research questions through to production systems Tech stack: Python, PyTorch (or similar ML frameworks) Requirements 3+ years of experience in computer vision or audio processing Strong Python developer with hands-on experience in PyTorch or similar ML frameworks Excellent communication skills with customers and external teams Write clean, maintainable code Deep passion for video domain and media technologies Motivated by building end-to-end products Break down problems from customer level impact to building blocks In-person at SF HQ Green Flags Research background, able to work independently on problems Experience at top tech companies/research labs Direct experience in computer vision/robotics Red Flags Less than 3 years of relevant experience Lack of research/independent work experience No background at top-tier tech/research companies Why Join Frontier video AI work at internet scale, partnering with leading AI labs Small, senior, revenue-generating team with significant individual ownership Build systems that directly shape what downstream AI models and agents can do Details Location: San Francisco, CA Work policy: In-person at HQ Compensation: $150,000–$350,000 + equity Visa sponsorship: H-1B, O-1, OPT Employment type: Full-time #J-18808-Ljbffr David Joseph & Company