Member of Technical Staff, Infrastructure

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 , Swift Ventures , Y Combinator , and AI Grant .

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 , 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 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