Principal Machine Learning Engineer, Imaging AI

$129,000 - $177,100/Yr

Bristol-Myers Squibb - Cambridge, MA

Full-time - Senior

Remote - Cambridge, MA

Chemical Manufacturing

About the position

The Principal Machine Learning Engineer for Imaging AI at Bristol Myers Squibb will play a crucial role in advancing the company's research and development efforts through the application of cutting-edge machine learning techniques in imaging. This position involves collaborating with a diverse team of scientists to design and implement data and compute infrastructure that supports innovative tissue-based image analysis, ultimately contributing to the development of novel treatments for patients.

Responsibilities

• Collaboratively design and build an integrated ecosystem of resources for imaging research
• Contribute to the development, deployment, and integration of new machine learning models
• Design and implement robust and efficient data pipelines for ingesting, processing, and cleaning large pathology and cellular imaging datasets
• Develop & maintain databases to catalog AI models, annotations, and metadata
• Communicate technical findings effectively to scientific and non-technical audiences through presentations, reports, and documentation.

Requirements

• Bachelor's Degree in Computer Science, AI or a related discipline and 8+ years of academic / industry experience
• OR Master's Degree in Computer Science, AI or a related discipline and 6+ years of academic / industry experience
• OR PhD in Computer Science, AI or a related discipline and 4+ years of academic / industry experience

Nice-to-haves

• PhD (or MSc with 4+ years experience) in Computer Science, AI or a related discipline
• Strong proficiency in programming languages (Python, R, etc.) and data analysis tools (Jupyter Notebooks, Pandas, RStudio, etc.)
• Proficiency in building and deploying machine learning models (e.g., scikit-learn, TensorFlow, PyTorch)
• Proficiency in container strategies such as Docker, ECS, and ECR
• Experience with machine learning lifecycle management tools (e.g., MLflow and WandB) is a plus
• Experience with cloud platforms (AWS, Azure, etc.) is a plus
• Prior experience with developing machine learning pipelines for histological and/or cellular imaging tasks is preferred
• Strong problem-solving skills through rigorous and creative thinking
• Excellent written and oral communication skills, including an ability to collaborate effectively with a wide variety of stakeholders
• Ability to work both independently and collaboratively while balancing several concurrent, fast-paced projects.

Benefits

• Medical, pharmacy, dental and vision care
• Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP)
• Financial well-being resources and a 401(K)
• Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support
• Work-life programs including paid national holidays and optional holidays, Global Shutdown days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility
• Parental, caregiver, bereavement, and military leave
• Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources
• Tuition reimbursement and a recognition program