Overview
ABOUT US
Full 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
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