Job Description
Job Description
Our mission is to enable hardware deployment at the speed of software development. We are working towards automatic code transpilation and optimization for any hardware application.
In this role, you will collaborate with a small team of talented researchers on ambitious, greenfield projects in generative AI and reinforcement learning.
Core responsibilities :
- Design, execute, and analyze experiments with a high degree of independence
- Contribute to core models and frameworks
- Create high-quality datasets (both in-the-wild and synthetic)
- Perform literature reviews and implement new techniques from papers
- Contribute to publications, present at conferences and workshops, etc.
Research Areas of Interest :
An incomplete list of current and near-term research directions :
Contrastive representation learningSteerability and guided decodingTractable probability modelsCode-specific architecturesLLM fine-tuning, post-training, RLHFRequirements
Ph.D. in Computer Science or a closely related fieldPrior LLM research experienceComfortable programming in Python and familiar with frameworks such as PyTorch and HuggingFacePreferred Qualifications :
Publications at peer-reviewed conferences such as NeurIPS, ICLR, ICML, etc.Experience with large-scale LLM training, particularly in a distributed computing environmentBenefits
Competitive salaryHealth care plan (medical, dental, and vision)Retirement plan (401k, IRA) with employer matchingUnlimited PTOFlexible hybrid work arrangementRelocation assistance for qualifying employees