Staff Machine Learning Engineer

Qualifications

• PhD with 4+ years or Master's with 7+ years in Machine Learning, AI, or a related field
• In-depth knowledge of machine learning and self-supervised learning techniques
• Proficient in Python and PyTorch for deep learning tasks
• Experience in building scalable ML systems on cloud platforms (AWS preferred)
• Hands-on work with medical imaging data (DICOM) and related preprocessing
• History of developing and deploying ML models in healthcare or regulated sectors
• Strong communicator, capable of collaborating effectively with diverse teams

Responsibilities

• Lead R&D of advanced deep learning models for medical imaging
• Design scalable training pipelines for large imaging datasets
• Enhance model performance through experimentation and architecture innovation
• Convert clinical needs into functional ML solutions
• Collaborate with data scientists, engineers, and clinical stakeholders
• Mentor ML engineers and data scientists, providing technical leadership
• Team up with infrastructure teams to boost training and deployment efficiency
• Contribute to publications and support IP development

Benefits

• Opportunity to work on cutting-edge technology in healthcare
• Mentorship and leadership roles available
• Cross-disciplinary collaboration with clinical and technical teams
• Contribution to meaningful research impacting patient care
• Potential for involvement in regulatory processes related to medical devices