Applied Researcher

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Variant is hiring an applied researcher to join our team in San Francisco. We are well-capitalized and focused on code generation with creativity and taste. This role involves designing, training, and evaluating deep neural networks and large language models (LLMs); prototyping quickly; turning promising ideas into reliable systems; collaborating with engineering and design; and communicating results clearly through papers, documentation, and crisp experiment reports.

$/yr - $/yr

• 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 Py Torch
• 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 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.

• Entry level

• Full-time

• Research, Analyst, and Information Technology

• Technology, Information and Internet

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