Sieve
Member of Technical Staff, Forward Deployed
San Francisco · Staff+
Sponsorship not specifiedDetected 69 days ago
PythonSwiftAlgorithmsMachine LearningPyTorchData EngineeringAR/VRResearchCommunication
About the role
- As a Forward Deployed Engineer at Sieve, you'll work on highly specific dataset problems for frontier AI labs.
Responsibilities
- 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/.
- You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier.
Requirements
- Strong Python developer with hands-on experience in PyTorch or similar ML frameworks
Nice to have
- Experience with large-scale video, audio, or multimodal data processing
- Active contributor to open source projects
- In-person at our SF HQ
Benefits
- 401k + Full Health Insurance
Company info
- 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/.
- 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.
- 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.
- 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.
- We're looking for someone with a strong bias to action who likes working closely with customers, untangling messy requirements, and shipping fast.
This listing is sourced directly from Sieve's careers page and normalized into a canonical job model.