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Member of Technical Staff, Infrastructure

Sieve

San Francisco, CAFull-time$150–350K/yrPosted 1y agoStill listed 3w ago

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At a glance

Compensation
$150–350K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Sieve is hiring a Member of Technical Staff, Infrastructure. Sieve is a multi‑modal lab that curates high‑quality training datasets across video, audio, images, text, and 3D, combining exabyte‑scale data infrastructure with multimodal understanding techniques to advance foundation models. The company serves leading AI labs, handling large‑scale video data pipelines that require fast, reliable, and cost‑effective compute and orchestration.

Key focus areas include Design and engineer compute, scheduling, and orchestration systems for complex ML and ETL pipelines., Optimize system uptime for large‑scale video data processing., and Build and maintain internal tooling and CI/CD pipelines for rapid iteration..

Successful candidates bring 3+ Years Building Foundational Data Infrastructure Experience, In-Person At SF HQ, and Onsite In San Francisco 5 Days Per Week. Important skills include Diverse Cloud Architectures, Go, Python, Leads By Example, CI/CD, and Rust. Preferred (not required): Optimizing System Uptime, Cloud Technologies, Optimizing Hyper-Fast Distributed Systems, and Building Internal Tooling.

Skills & qualifications

RequiredNice to have

Skills

Diverse Cloud ArchitecturesGoPythonLeads by ExampleOptimizing System UptimeCloud TechnologiesOptimizing Hyper-Fast Distributed SystemsBuilding Internal ToolingCI/CDRustWorking Across Diverse Cloud ArchitecturesDesigning and Maintaining PipelinesDeveloping Robust CI/CD PipelinesOperates as an ICLarge-Scale Video Data Systems

Qualifications

3+ Years Building Foundational Data Infrastructure ExperienceIn-Person at SF HQOnsite in San Francisco 5 Days Per Week

Benefits

Medical Insurance
401(k) Match
Dental Insurance
Vision Insurance

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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