Creative intelligence. Backed by Y Combinator and a16z speedrun.
About the role
Variant is code generation with creativity and taste. Instead of a confined conversation, you can generate endless designs from a single idea. Freely explore, discover directions you wouldn’t have thought of, and build better software as a result. We're well-capitalized and looking for an applied researcher to join us at Variant.
What they're looking for
- 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
- Experience training LLMs, including SFT, RL-based techniques, etc
- Experience in the domain of code generation
More about this role
Software should be beautiful.
Variant is code generation with creativity and taste. Instead of a confined conversation, you can generate endless designs from a single idea. Freely explore, discover directions you wouldn’t have thought of, and build better software as a result.
We're well-capitalized and looking for an applied researcher to join us at Variant.
- 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
- 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
- Experience training LLMs, including SFT, RL-based techniques, etc.
- Experience in the domain of code generation
- At least 1 paper accepted into a top conference
- Proficiency in best software engineering practices
- Repeated experience...
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