ML Engineer II
About The Company PathAI is dedicated to improving patient outcomes through AI-powered pathology. Our innovative platform enhances the accuracy of disease diagnosis and the effectiveness of treatment, particularly for conditions such as cancer, by leveraging cutting-edge machine learning and artificial intelligence techniques. We have a proven history of successfully deploying AI algorithms in histopathology across translational research, pathology laboratories, and clinical trials. Our commitment to rigorous scientific methodology and thorough analysis underpins every aspect of our work. Our diverse team, composed of individuals with varied backgrounds and expertise, is united by a passion for solving complex problems and making a significant impact on patient care worldwide. About The Role We are seeking a Machine Learning Engineer II specializing in Applied Research and Model Development to join our team in Boston (onsite), New York (onsite preferred), or remotely. In this role, you will address unique machine learning challenges aimed at advancing medical science and enhancing patient care. You will collaborate closely with interdisciplinary teams including biomedical data scientists, product developers, translational researchers, MLOps specialists, and platform engineers to develop and deploy machine learning models that power our AI products and services. This position offers the opportunity to work in a patient-first environment where every team member’s contributions are valued and critical to our mission. You will engage with leading experts in AI and medicine, playing a pivotal role in product development that directly impacts patient outcomes. Your responsibilities will include designing, developing, and deploying machine learning models for both research initiatives and product applications, as well as contributing to experimental design, analysis, and documentation.
Qualifications
Master’s degree in Machine Learning, Computer Science, Data Science, Statistics, Applied Mathematics, or a closely related field with 2–4 years of relevant experience, OR PhD in the same disciplines with 0–2 years of experience. Proven experience in developing and deploying machine learning models in production or research environments. High proficiency in Python programming, machine learning frameworks, and data pipeline development. Demonstrated ability to contribute effectively to experimental design and to enhance ML workflows. Strong collaboration skills across scientific and engineering teams. Preferred qualifications include the ability to work independently, excellent interpersonal and communication skills with the ability to explain technical concepts to non-experts, and strong organizational skills for managing multiple projects.
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 such as design reviews, journal clubs, ML best practices, and governance activities. Partner with MLOps and platform teams to improve ML pipelines and infrastructure. Publish and present scientific work, supporting abstracts, manuscripts, and conference contributions.
Benefits
Opportunity to work with leading innovators in AI and medicine. Collaborative and inclusive work environment focused on patient-centered outcomes. Competitive salary range based on experience, qualifications, and location (Boston, MA range: $107,250 - $177,000). Remote work option available for this position. Equal Opportunity PathAI is an equal opportunity employer. We are committed to employing, promoting, and treating all employees and applicants based on merit, qualifications, and competence. Our policies prohibit unlawful discrimination on any basis, including but not limited to Protected Veteran status and individuals with disabilities, in accordance with all applicable federal, state, and local laws.