Sieve — Member of Technical Staff, Applied Research

Sieve — Member of Technical Staff, Applied Research Type: Full-time | On-site | San Francisco, CA Compensation: $150,000–$350,000 + 0.05%–0.4% equity Hiring count: 4 Visa sponsorship: Yes — H-1B, O-1, OPT Reports to: TBD (CTO / CEO are in the loop per interview process) About Sieve Sieve 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; Sieve targets the biggest bottleneck to progress in those domains — high-quality training data. The company has partnered with top AI labs and generated meaningful revenue last quarter with a team of just 12. Founded: 2022 | Team size: ~12 (listed 11–50) | Total funding: Series A (amount undisclosed) Investors: Matrix Partners, Swift Ventures, Y Combinator, AI Grant Industry: AI Tools / Video data Website: sievedata.com Office: San Francisco, CA Why Candidates Should Join Frontier video AI: The only research lab working exclusively on video data, partnering with top AI labs at internet scale. 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 directly shape what downstream AI models and agents can do. 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. What You'll Be Doing Build high-performance research building blocks and large-scale video understanding pipelines Squeeze performance out of models + APIs via 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 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 Role Details Salary $150,000–$350,000 Equity 0.05%–0.4% On‑site policy In‑person at SF HQ Visa sponsorship H-1B, O-1, OPT Employment type Full‑time Location San Francisco, CA #J-18808-Ljbffr davidjoseph-co