Member of Technical Staff
- Salary
- $150K - $350K
- Level
- Staff
- Work type
- On-site · San Francisco
Not stated in the posting: visa.
Open. First seen 14 March 2026.
About the role
Sieve's standard text
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 a software engineer at Sieve, you'll work across the stack to build and scale the data pipelines that create the datasets we deliver to customers. You'll have ownership over projects end-to-end: from how data is sourced and curated, to developing ML filters, improving system efficiency, and building internal dashboards for QA and delivery. You'll play a critical role in ensuring customers receive high-quality data on time, every time.
This role is ideal for someone who thrives on solving hard problems, enjoys working directly with customers pushing the frontier of multimodal AI, and wants to be challenged to achieve at the highest level.
Requirements
- Strong Python developer, experience in Go or Typescript also welcome
- Excellent communication skills, especially with customers and external teams
- Writes clean, maintainable code
- In-person at our SF HQ
- Able to context switch at a moment's notice
- Bonus: Experience as an early hire at a startup
- Bonus: Active GitHub or portfolio projects
Benefits
Sieve's standard text
- 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
What this role asks for
49% of this description is written for the role. The rest is Sieve's standard text, folded away below.
Read against Sieve's other open postings on this site.
The team: Engineering
This role is one of 5 open in Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (5 of 5), Machine Learning (3 of 5), PyTorch (3 of 5), Deep Learning (2 of 5), GitHub (2 of 5), Golang (2 of 5), TypeScript (2 of 5)
OTHER ROLES ON THIS TEAM
- Member of Technical Staff, Applied Research posted Sep 14
- Member of Technical Staff, Machine Learning posted Jul 13
- Member of Technical Staff, Forward Deployed posted May 14
- Member of Technical Staff, Product posted Jan 27
From the team and dates on Sieve's own job board.
Salary context
35 other open postings titled Member of Technical Staff state a salary: median USD 175,000 to USD 300,000 a year.
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