Applied Researcher
Hybrid (San Francisco, CA)$150k - $300k + equityFull-timePosted 11mo ago
About the role
Applied researcher role at Variant focused on creative intelligent software; design, train, and evaluate deep neural networks and LLMs, own experiments end-to-end, prototype fast, and collaborate with engineering and design to ship rigorous, impactful models.
Responsibilities
- Design, train, and evaluate deep neural networks and LLMs
- Own experiments end-to-end: hypotheses, datasets, metrics, results
- Prototype fast; turn promising ideas into reliable systems
- Collaborate with engineering and design to make ideas real
- Write clearly: papers, docs, and crisp experiment reports
- Don't compromise between rigor and shipping fast
- See what needs to be done and do it
Qualifications
- 2+ years in PhD program or in industry
- Experience training deep neural networks
- Proficiency in frameworks like Pytorch
- Published 1 or more papers in the subject of deep learning
Skills
Required:MLPythonTorch/PyTorchMachine LearningDeep Learning
Nice to have:Reinforcement learningNatural Language ProcessingComputer Vision
Benefits
- Not specified in description
Last updated Aug 26, 2026. Interested? Apply on the company site.
About Variant
Creative intelligence
Creative intelligence
developer-toolsdesign-toolsai
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