Member of Technical Staff, Deployed Research

Sieve, Inc.; San Francisco (CA); Sur place; USD 100 000 - 140 000; Plein temps

Avantages offerts par ce poste

401k + Full Health Insurance

Meals covered (Breakfast, Lunch, and Dinner)

Uber rides covered home

Résumé du poste

Sieve, Inc. is hiring a Deployed Research Engineer in San Francisco to tackle specific dataset problems for frontier AI labs. This role requires working closely with customers and internal teams to translate ambiguous requirements into actionable systems.

Key responsibilities include building algorithms and pipelines, ensuring high-quality data processing, and optimizing performance across diverse media technologies. The ideal candidate should have strong Python skills and a passion for video and AI applications.

Qualifications

• Comfortable working with customers to translate needs into technical systems.
• Strong intuition for dataset quality and filtering.
• Experience delivering end-to-end outcomes, not just models.

Responsabilités

• Build custom algorithms and pipelines for dataset problems.
• Work with customers to understand data needs and translate requirements.
• Create reliable production systems for processing video datasets.

Connaissances

Strong Python development

Experience with PyTorch or similar ML frameworks

Build custom algorithms and data pipelines

Dataset quality intuition

Experience in video/media technologies

Description du poste

About the Role

As a Deployed Research Engineer at Sieve, you’ll work on highly specific dataset problems for frontier AI labs and build the custom algorithms, models, and pipelines needed to solve them.

This is a forward‑deployed role. 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.

The work often spans computer vision, audio processing, text processing, metadata analysis, model adaptation, and quality evaluation. You should be comfortable moving between research prototypes and reliable production pipelines, using models and APIs creatively, and squeezing performance through pre/post‑processing, parallelism, inference optimization, fine‑tuning, and evaluation loops.

Requirements

• Comfortable 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