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.
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.
As a Forward Deployed Engineer at Sieve, you’ll work on highly specific dataset problems for frontier AI labs. We're looking for someone with a strong bias to action who likes working closely with customers, untangling messy requirements, and shipping fast.
You’ll work closely with customers and internal teams to understand exactly what data is needed, then turn ambiguous requirements into production systems that can find, generate, filter, transform, evaluate, and package high-quality video datasets at scale.
RequirementsComfortable working directly with customers or external teams to translate ambiguous needs into concrete technical systems
Strong Python developer with hands-on experience in PyTorch or similar ML frameworks
Experience building custom algorithms, model workflows, or large-scale data pipelines
Strong intuition for dataset quality, filtering, labeling, evaluation, and edge cases
Able to break customer-level goals down into the models, heuristics, infrastructure, and QA steps needed to deliver
Writes clean, maintainable code and can move quickly without creating brittle systems
Deep passion for video, media technologies, and frontier AI applications
Motivated by delivering end-to-end outcomes, not just training models or writing research code
Bonus: Experience with large-scale video, audio, or multimodal data processing
Bonus: Active contributor to open source projects
Bonus: Experience as an early hire at a startup
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
Skills Required
- Comfort working directly with customers or external teams to translate ambiguous needs into concrete technical systems
- Strong Python development skills with hands-on experience in PyTorch or similar machine learning frameworks
- Experience building custom algorithms, model workflows, or large-scale data pipelines
- Strong intuition for dataset quality, filtering, labeling, evaluation, and edge cases
- Ability to break customer goals into models, heuristics, infrastructure, and quality-assurance steps
- Ability to write clean, maintainable code and move quickly without creating brittle systems
- Passion for video, media technologies, and frontier AI applications
- Motivation to deliver end-to-end outcomes beyond training models or writing research code
- Experience with large-scale video, audio, or multimodal data processing
- Active contribution to open source projects
- Experience as an early hire at a startup
- Ability to work in person at the San Francisco headquarters five days per week
What We Do
Sieve is the only AI research lab exclusively focused on video data. Video already makes up 80% of internet traffic and has become the dominant medium driving creativity, communication, gaming, AR/VR, and robotics. Unlocking the ability to truly model video is the key to breakthroughs across all of these domains but progress has been bottlenecked by one thing: high-quality training data. That’s where Sieve comes in. We bring together exabyte-scale video infrastructure, novel video understanding techniques, and dozens of diverse data sources to create datasets that push the frontier of video modeling. This unique combination allows us to deliver data with unmatched precision, quality, and speed which has earned the trust of frontier AI labs, Fortune 100 companies, and fast-growing generative AI startups.
