Research Scientist – Engineering
fal
full-time
Posted on:
Location Type: Remote
Location: California • United States
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About the role
- Spot missing products and features in the market to develop new solutions
- Develop entirely novel training or architecture methodologies
- Fine-tune existing models with new datasets
- Evaluate expected return on investment for different research approaches
- Collaborate with a team to iterate and deploy AI breakthroughs
Requirements
- You are an ML Researcher who has a broad view of the generative media space and an up-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.
- 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.
- You are more excited about using research to develop novel products than research for research's sake.
- You have work published in ICCV, ICML, Neurips, CVPR.
Benefits
- Interesting and challenging work
- Competitive salary and equity
- A lot of learning and growth opportunities
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningmodel fine-tuningdata analysisarchitecture developmentgenerative medianovel training methodologiesresearch methodologiesdataset managementAI deploymentROI evaluation
Soft Skills
collaborationproblem-solvinginnovationcritical thinkingadaptabilitycommunicationteamworkcreativityresearch enthusiasmmarket awareness