Variant Verified
Venture Capital, Financial Services, Blockchain, Web3
Applied Researcher
San Francisco, California, United StatesOnsiteFull Time$149,999–$300,000 /yrPosted 2 months agoHidden Gem · YC Startup
Role summary
Variant is seeking an Applied Researcher to design, train, and evaluate deep neural networks and LLMs for code generation. The role involves owning experiments end-to-end, prototyping ideas into reliable systems, and collaborating with engineering and design teams. The ideal candidate will have experience with LLMs, a strong publication record in deep learning, and proficiency in frameworks like PyTorch. This role offers the opportunity to make a significant impact in a small, fast-paced team focused on creating beautiful and innovative software.
**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.\
\
**Job 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
**Minimal 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
**Ideal qualifications:**
* 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 formulating, structuring, and answering open ended questions
* Passionate about visual design or UI design; prior work in the space
We've kept our team small by design. Your code will matter from day one, and its impact will compound over time. **This will be the most meaningful work of your career**.\
\
We work from a beautiful space in San Francisco where we dream up the future and make it real together. We’re well-capitalized and backed by notable investors.\
\
If you've built things you're proud of, we'd love to see them.
\
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.\
\
**Job 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
**Minimal 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
**Ideal qualifications:**
* 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 formulating, structuring, and answering open ended questions
* Passionate about visual design or UI design; prior work in the space
We've kept our team small by design. Your code will matter from day one, and its impact will compound over time. **This will be the most meaningful work of your career**.\
\
We work from a beautiful space in San Francisco where we dream up the future and make it real together. We’re well-capitalized and backed by notable investors.\
\
If you've built things you're proud of, we'd love to see them.
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