You are an ML Researcher who has a broad view of the generative media space and an update-to-date awareness of new methods in the space. You can spot products and features that are missing in the current market and work backwards to develop new methods to solve customers problems. Sometimes your work will require entirely novel training or architecture developments. While other times it will require fine-tuning pre-existing models with novel datasets. You are able to consider the expected return on investment of different approaches, and more excited about using research to develop novel products, then research for research's sake.
Tech:You will have access to our massive GPU cluster for training and inference
Some core technologies we use include Python, torch, diffusers, and the fal Python SDK
You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs
You have work published in ICCV, ICML, Neurips, CVPR
Interesting and challenging work
Competitive salary and equity
A lot of learning and growth opportunities
We are currently hiring in downtown San Francisco. We prefer to work in-person but we also offer remote work opportunities for exceptional candidates.
We offer visa sponsorship and will help you relocate to San Francisco.
Health, dental, and vision insurance (US)
Regular team events and offsites
Top Skills
Similar Jobs
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus


