Applied Researcher

About Variant

Creative intelligence

The 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.\\**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 spaceWe'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.

Skills

• ML
• Python
• Torch/PyTorch
• Machine Learning
• Deep Learning
• Reinforcement learning (RL)
• Natural Language Processing
• Computer Vision