Hiring: Member of Technical Staff, Forward Deployed Company: Sieve Location: San Francisco, CA Job Posted Time: 2026-09-11 17:57:30 Employment Type: Full-time Target Skills & Keywords: Python, PyTorch, ML frameworks, large-scale data pipelines, video/multimodal data processing, dataset quality, filtering, labeling, evaluation, customer-facing engineering, forward deployed engineering, frontier AI Experience: - Hands-on experience with PyTorch or similar ML frameworks - Experience building custom algorithms, model workflows, or large-scale data pipelines - Bonus: Experience with large-scale video, audio, or multimodal data processing - Bonus: Experience as an early hire at a startup Required Skills: - Comfortable working directly with customers or external teams to translate ambiguous needs into concrete technical systems - Strong Python development skills - Ability to build custom algorithms, model workflows, and large-scale data pipelines - Strong intuition for dataset quality, filtering, labeling, evaluation, and edge cases - Ability to break customer-level goals into models, heuristics, infrastructure, and QA steps - Clean, maintainable code with the ability to move quickly without creating brittle systems - Deep passion for video, media technologies, and frontier AI applications - Motivated by delivering end-to-end outcomes Qualifications: - Strong bias to action and comfort working closely with customers - Skilled at untangling messy requirements and shipping fast - Able to turn ambiguous requirements into production systems that find, generate, filter, transform, evaluate, and package high-quality video datasets at scale - Bonus: Active contributor to open source projects - Must be onsite in San Francisco 5 days per week Compensation: - Base pay range: $150,000/yr - $350,000/yr - Benefits: 401k + Full Health Insurance, breakfast/lunch/dinner covered, snacks, Ubers covered home Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!