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Role description

Member of Technical Staff, Infrastructure

Sieve logoSieveYC W22
TypeFull-time
WorkplaceOn-site
SeniorityStaff / Lead
Salary$150,000–$350,000
LocationSan Francisco, CA
Posted9/11/2026
Engineering

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

Compensation Range: $150K - $350K

Relevant archetypes

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Company info

Sieve logo

Sieve

The multimodal data lab.

Sieve builds the data and environments frontier AI labs use to train the next generation of multimodal systems. AI is moving beyond chatbots into video, audio, images, software, robotics, and interactive worlds. The next generation of models will need to understand how the world looks, sounds, moves, responds, and changes over time. Progress is bottlenecked by one thing: high-quality data. Sieve brings together exabyte-scale infrastructure, novel multimodal understanding techniques, large-scale sourcing, and deep research partnerships to create datasets and environments with unmatched precision, quality, and speed. This has earned the trust of frontier AI labs, Fortune 100 companies, and fast-growing AI startups working on generative media, robotics, computer use, world models, and agentic systems.

Private companySeedYC W22
Founded2022
HQSan Francisco, United States
Unlock human wisdom
ThesisTermsPrivacy
Size
11–50 employees
IndustrySoftware Development
Funding
  • Seed · Nov 14, 2022
Investors
Y Combinator
Tech stacknext-js, prometheus, sales-navigator, golang, apollo-io, victoria-metrics, amazon-web-services, at-internet, google-cloud-platform, signupto

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