Sieve
Sieve

Member of Technical Staff, Infrastructure

$150,000 – $350,000 per year

TLDR

Engineer compute, scheduling, and orchestration systems for ML and ETL pipelines processing petabytes of video across thousands of GPUs.

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

Benefits

Equity Compensation

401k

Free Meals & Snacks

your choice of snacks

Health Insurance

Full Health Insurance

Uber transportation coverage

Ubers covered home

Sieve is an AI research lab dedicated to creating the highest-quality multimodal datasets, with a unique focus on video data. We leverage exabyte-scale infrastructure and advanced understanding techniques to provide precise and comprehensive training data, addressing the critical bottleneck in AI development. Our partnerships with leading AI labs underscore our commitment to driving innovation in creativity, communication, and robotics.

Founded
Founded 2022
Employees
11-50 employees
Industry
computer software
Funding stage
Seed
Total raised
$4.1M raised
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