As a Principal Machine Learning Engineer in our client's Breast and Skeletal Health division, you will play a pivotal role in designing, developing, and deploying advanced AI algorithms for next-generation medical devices. You will focus on creating and validating AI-driven solutions for breast cancer detection in breast tomosynthesis (3D mammography). Your work will have a direct impact on patient outcomes by ensuring our technologies are robust, safe, and clinically validated—upholding a mission to deliver innovation with precision and reliability.

What You’ll Bring

Knowledge:

• Deep expertise in machine learning and deep learning, including supervised and self-supervised methods.
• Mastery of cutting-edge neural network architectures and training techniques.
• Strong foundation in computer vision, data preprocessing, feature engineering, and statistical analysis.
• Experience with model validation and performance benchmarking.
• Knowledge of software engineering best practices for building maintainable, scalable systems.
• Bonus: Familiarity with FDA regulatory standards for AI in healthcare, DICOM format, digital breast tomosynthesis, and breast cancer pathology/diagnostic workflows.

Skills:

• Advanced programming in Python and C++, with proficiency in ML/data science libraries (e.g., Pandas, OpenCV, XGBoost, NumPy, SciPy).
• Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and cloud platforms (AWS, Azure, GCP).
• Proven ability to design, implement, and optimize machine learning pipelines for large-scale, high-dimensional 3D medical imaging data.
• Experience deploying and maintaining models in production environments.
• Strong problem-solving skills for translating clinical requirements into technical solutions.
• Excellent communication skills for technical documentation and stakeholder presentations.
• Effective cross-functional collaboration with engineers, clinicians, and product managers.

Behaviors:

• Demonstrates leadership and initiative in driving complex projects from concept to deployment.
• Champions a collaborative, open, and success-driven team culture.
• Maintains high standards of integrity, accountability, and ethical decision-making.
• Adapts quickly to evolving technologies and priorities.
• Proactively seeks feedback and growth opportunities.
• Shows resilience and resourcefulness in technical and regulatory challenges.
• Prioritizes patient safety, data privacy, and compliance.
• Inspires teams through commitment to our client's mission and values.