Machine Learning Engineer, Imaging AI

The job is for a Machine Learning Engineer in the Imaging AI team at Bristol Myers Squibb. The team focuses on advancing the company's pipeline through cutting-edge tissue-based image analysis approaches.

• Contribute to design and build an integrated ecosystem of resources for imaging research.
• Participate in the development, deployment, and integration of new machine learning models.
• Implement robust and efficient data pipelines for processing large pathology and cellular imaging datasets.
• Integrate machine learning algorithms into digital pathology visualization frameworks.
• Develop and maintain databases for AI models, annotations, and metadata.
• Communicate technical findings effectively to various audiences.

• Bachelor's/Master's/PhD in Computer Science, AI, or a related discipline.
• Proficiency in programming languages and data analysis tools.
• Experience with building and deploying machine learning models.
• Familiarity with container strategies and cloud platforms.
• Prior experience with machine learning pipelines for imaging tasks.
• Problem-solving skills and strong communication abilities.
• Ability to work independently and collaboratively on multiple projects.