Applied Researcher

**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.