Sr. Machine Learning Researcher

Ph.D. or equivalent industry experience in machine learning, natural language processing, computer vision, computer science, electrical engineering, statistics, mathematics, optimization, or data science. 2-3 years of experience. Proven experience training and fine-tuning large language models. Expertise in model architecture, optimization techniques, and performance evaluation. Experience with modeling in the healthcare domain, clinical natural language understanding, and healthcare data. Peer-reviewed publications in top AI conferences strongly preferred. Strong programming skills in Python. Proficiency in deep learning frameworks and tools such as PyTorch, TensorFlow, PyTorch Lightning, Hugging Face Transformers, and Kubernetes/Kubeflow. Experience with cloud platforms (AWS, GCP) and multi-GPU environments. Track record of translating research into real-world applications. Ability to work effectively in a cross-functional, fast-paced environment. Strong written and verbal communication skills.

Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges. Integrate Human-in-the-Loop data to guide model improvements. Partner with healthcare experts and stakeholders to ensure models align with real-world needs. Evaluate advancements in ML for relevance to healthcare AI applications. Publish and share research findings in the AI community.