Principal Machine Learning Engineer

As a Principal Machine Learning Engineer in Hologic’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 Hologic’s 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.

Qualifications

• Education & Experience:
  • At least a Bachelor’s degree in a relevant field (e.g., Computer Science, Electrical Engineering, Biomedical Engineering, Applied Mathematics, or related discipline).
  • 8+ years of professional experience working with machine learning, deep learning, or closely related applied AI/ML domains.

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 Hologic’s mission and values.

So why join Hologic?

We are committed to making Hologic the company where top talent comes to grow. For you to succeed, we want to enable you with the tools and knowledge required and so we provide comprehensive training when you join as well as continued development and training throughout your career. We offer a competitive salary and annual bonus scheme, one of our talent partners can discuss this in more detail with you.

If you have the right skills and experience and want to join our team, apply today. We can’t wait to hear from you!

The annualized base salary range for this role is $126,000 - $210,100 and is bonus eligible. Final compensation packages will ultimately depend on factors including relevant experience, skillset, knowledge, geography, education, business needs and market demand.

Agency and Third-Party Recruiter Notice: Agencies that submit a resume to Hologic must have a current executed Hologic Agency Agreement executed by a member of the Human Resource Department. In addition Agencies may only submit candidates to positions for which they have been invited to do so by a Hologic Recruiter. All resumes must be sent to the Hologic Recruiter under these terms or they will not be considered.

As part of our commitment to a fair and accurate evaluation of each candidate's qualifications, we require all applicants to refrain from using AI tools, such as generative AI or automated writing assistance, during any stage of the interview process. Responses influenced by AI may result in disqualification. We appreciate your understanding and cooperation in ensuring a transparent and equitable selection process.

Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans.

#LI-DS1