Design and run multimodal model training focused on vision-language systems
Develop models for patient perception via video, language, and speech
Contribute to full model cycle: data curation, architecture, training, evaluation
Collaborate with AI, Product, and Clinical teams to deploy production systems
Advance long-term goals like real-time state estimation and safety validation
Publish research in top AI venues and clinical journals

🎯 Requirements

PhD in Computer Science, ML, NLP, CV or related AI field
Hands-on fine-tuning of LLMs or multimodal models (SFT, RLHF)
Experience training across multiple modalities (video, text, speech)
Strong publication record in top AI conferences/journals
Proficiency in Python and ML frameworks (PyTorch, JAX)
Ability to design rigorous experiments and interpret results

🎁 Benefits

Health, dental and vision insurance
Meal allowance
Equity shares
Remote work allowance
Flexible working hours
Discretionary vacation

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