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.
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
Contrastive representation learning Steerability and guided decoding Tractable probability models Code-specific architectures LLM fine-tuning, post-training, RLHF Ph.D. in Computer Science or a closely related field Prior LLM research experience Comfortable programming in Python and familiar with frameworks such as PyTorch and HuggingFace
Competitive salary
Unlimited PTO
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