# Member of Technical Staff, Infrastructure - Company: [Sieve]() - Location: San Francisco - Team: Engineering - Employment type: Full Time - Salary: $150K – $350K - Posted: April 26, 2025 ## Job description ## About Us Sieve is a multi-modal lab curating the world's highest-quality training datasets — spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models. Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data. We partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people. We also raised our Series A from Tier 1 firms such as [Matrix Partners](https://matrix.vc/), [Swift Ventures](https://www.swift.vc/), [Y Combinator](https://www.ycombinator.com/), and [AI Grant](https://aigrant.com/). ## Why Now Sieve is one of the most capital-efficient teams in AI — roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier. ## About the Role As an infrastructure engineer at [Sieve](https://www.sievedata.com/), you’ll design and engineer systems that handle the compute, scheduling, and orchestration of complex ML + ETL pipelines that need to run quickly, reliably, and cost-effectively on large sums of video. You’re likely a good fit if you love optimizing for system uptime, have worked with cloud technologies, optimizing hyper-fast distributed systems at the scale of thousands of GPUs, and building great internal tooling and CI/CD for rapid iteration. ## Requirements * 3+ years of experience building foundational data infrastructure * Proficient in working across diverse cloud architectures * Designed and maintained pipelines that process petabytes of data * Developed robust CI/CD pipelines tailored for ML-focused teams * Strong coding experience with **Go** and **Python;** Experience with **Rust** is a plus * Operates as an IC who leads by example * Experience with large-scale video data systems * In-person at our SF HQ ## Benefits * 401k + Full Health Insurance * Breakfast, Lunch, and Dinner covered and your choice of snacks * Ubers covered home *\*all roles at Sieve require you to be onsite in San Francisco 5 days per week* ## Apply [Apply on Sieve]() Canonical job page: