ML Research Scientist

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Requirements:

• PhD (or Master’s with 3+ years experience) in Computer Science, Electrical Engineering, Biomedical Data Science, or a related field.
• Proven track record in medical machine learning research, as demonstrated by first-author publications in leading venues (e.g., Nature, CVPR, ACL, ICML, NeurIPS, MICCAI, IEEE, or similar).
• Extensive experience developing and implementing state-of-the-art deep learning models using frameworks like PyTorch or Tensorflow and tools like Hugging Face.
• Strong expertise in ML domains such as computer vision, NLP, and multimodal AI applications.
• Familiarity with medical imaging, clinical workflows, and the healthcare industry (preferred, not required).
• Exceptional problem-solving and analytical abilities.
• Strong communication skills and a collaborative mindset.

Responsibilities:

• Research, prototype, and deploy state-of-the-art machine learning algorithms for medical imaging, NLP, and multimodal tasks.
• Define and lead an ambitious research agenda with clear, measurable milestones.
• Collaborate with clinicians, engineers, and product teams to understand critical needs and align research priorities.
• Share insights and breakthroughs through publications in leading conferences and journals.
• Present your work internally to gather feedback and foster collaboration across research, engineering, and clinical teams.
• Build and improve shared infrastructure and tools that support research and engineering initiatives.
• Thrive in a dynamic and rewarding environment that emphasizes excellence, autonomy, and impact.