**Software should be beautiful.**\
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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.\
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**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**.\
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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.\
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If you've built things you're proud of, we'd love to see them.
Visa sponsorship is offered for this role.
