Variant
Applied Researcher
$150K–$300K
San Francisco, CA, US · Full-time · Posted Oct 30, 2026
- Experience
- 2+ years in a PhD program or in industry.
About the job
Designs and evaluates deep neural networks and LLMs, taking research experiments from hypotheses through prototypes and into reliable systems.
What you'll do
- Design, train, and evaluate deep neural networks and LLMs; own experiments, including hypotheses, datasets, metrics, and results.
- Prototype promising ideas and turn them into reliable systems in collaboration with engineering and design.
- Write papers, documentation, and experiment reports.
What they ask for
- At least 2 years in a PhD program or in industry.
- Experience training deep neural networks.
- Proficiency in frameworks like Pytorch.
- At least 1 published paper in deep learning.
Nice to have
- Experience training LLMs, including SFT and RL-based techniques; experience in code generation.
- At least 1 paper accepted into a top conference; software engineering best practices; experience with open-ended research questions; visual or UI design experience.
Pay
$150K - $300K (base salary)
Tools
Pytorch
AI focus
Research and development of deep neural networks and LLMs, including training, evaluation, and applying research to code generation systems.
Model-written summary · the original posting is authoritative