About the RoleAs an applied research engineer at Sieve, you'll build high performance building blocks and large scale pipelines to understand video with high precision at internet scale. Often this involves working on ambiguous research problems and finding clever techniques to solve them. You will be working in the computer vision, audio processing, and text processing domains.
You're likely a good fit if you're comfortable working with models + APIs and squeezing every drop of performance out of them through clever pre/post-processing, parallelism, pipelining, inference optimization, and occasionally fine-tuning.
Requirements- 2+ years of experience in computer vision or audio processing
- Strong Python developer with hands-on experience in PyTorch or similar ML frameworks
- Excellent communication skills, especially with customers and external teams
- Writes clean, maintainable code-bonus points for active GitHub or portfolio projects
- Deep passion for the video domain and media technologies
- Motivated by building end-to-end products-not just training models
- Able to break problems down from customer level impact to necessary building blocks.
- Bonus: Active contributor to open source projects
- Bonus: Experience as an early hire at a startup
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
