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python pytorch llm rlhf jaxπ Description
- Design and run research on LLM fine-tuning, alignment, and post-training methods for clinical domains
- Build and improve AI models powering language, vision, speech, and multimodal systems
- Contribute to model development: dataset curation, design, training, evaluation
- Collaborate with AI Engineering, Product, and Clinical teams to deploy research
- Pursue long-term goals like clinical memory, long-horizon planning, safety validation
- Publish research in top AI venues and clinical journals
π― Requirements
- PhD in Computer Science, ML, NLP, or closely related AI field
- Hands-on experience fine-tuning large language models (pre-training, SFT, RLHF)
- Strong publication track record in peer-reviewed AI conferences or journals
- Proficiency in Python and ML frameworks (PyTorch, JAX)
- Ability to design rigorous experiments and interpret results
π Benefits
- Health, dental and vision insurance
- Meal allowance
- Equity shares
- Remote work allowance
- Flexible working hours
- Discretionary vacation
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