Machine Learning Engineer II (Applied Research & Model Development)

About PathAI

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.

The Opportunity

We are seeking Machine Learning Engineers (Applied Research & Model Development) to tackle unique machine learning challenges to advance medicine and improve patient care. You will work closely with teams across biomedical data science, product development, translational research, MLOps, and platform engineering to develop and deploy machine learning models for our AI products and services.

You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals. Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes.

Responsibilities

• Design, develop, and deploy machine learning models for research and product development projects.
• Collaborate cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable ML solutions.
• Contribute to experimental design and analysis, including ideation, documentation, and reporting.
• Participate in knowledge sharing and team initiatives (e.g., design reviews, journal clubs, ML best practices, governance activities).
• Improve ML pipelines and infrastructure in partnership with MLOps and platform teams.
• Publish and present scientific work, supporting abstracts, manuscripts, and conference contributions.

Requirements

Required:

• Master's degree in Machine Learning, Computer Science, Data Science, Statistics, Applied Mathematics (or a closely related discipline) plus 2–4 years of experience, or a PhD in Machine Learning, Computer Science, Data Science, Statistics, Applied Mathematics (or a closely related discipline) with 0–2 years of experience.
• Proven track record of developing and deploying machine learning models into production or research applications.
• High proficiency in Python, ML frameworks, and data pipeline development.
• Demonstrated ability to contribute to experimental design and improve ML workflows.
• Demonstrated ability to collaborate across scientific and engineering teams.

Preferred:

• Ability to work independently.
• Strong interpersonal and communication skills, with the ability to explain technical concepts to non-experts and thrive in ambiguous environments.
• Excellent organizational skills and the ability to prioritize and manage multiple projects efficiently.

Location and Compensation

• Location: Boston, NYC, or remote
• Relocation: Relocation benefits are not available for this position.
• Salary range (Boston, MA): $107,250 - $177,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.

Equal Opportunity

PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.