Sr. Machine Learning Research Scientist

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Requirements:

• MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent practical experience
• 2+ years of post-degree experience building NLP models in industry or academia
• Strong experience with transformer architectures and LLMs (e.g., fine-tuning, prompt engineering)
• Proficiency with Python and deep learning frameworks like PyTorch
• Familiarity with HuggingFace or similar NLP libraries
• Experience deploying models in production settings

Responsibilities:

• Design, train, and deploy sophisticated NLP models for clinical reasoning, generation, and decision support.
• Solve Real Clinical Problems: Tackle complex challenges unique to healthcare, with a focus on radiology workflows and patient follow-up.
• Collaborate Cross-Functionally: Work closely with engineers, product teams, and in-house clinicians to design, evaluate, and iterate on ML-powered solutions.
• Drive Applied Research: Read and synthesize cutting-edge NLP literature, design experiments, and prototype ideas that can be translated into production.
• Architect Practical ML Systems: Identify where and how ML can be most effectively applied across our pipeline and rigorously evaluate different approaches.