Machine Learning Engineer II

PathAI

full-time

Posted on: 9/2/2025

Origin: • 🇺🇸 United States • Massachusetts, New York

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Junior

NumpyPandasPythonPyTorchTensorflow

About the role

Improve patient outcomes with AI-powered pathology; work on ML algorithms for histopathology, translational research, labs, and clinical trials.
Work closely with biomedical data science, product development, translational research, MLOps and platform engineering to develop and deploy models.
Independently execute machine learning model development for research and product projects following ML best practices.
Understand product requirements in biological and clinical context and propose changes to model design, product requirements, or analysis plans.
Demonstrate mastery of established and state-of-the-art ML methods and uphold ML team best practices.
Engage with team governance, documentation, knowledge sharing, hiring and onboarding initiatives.
Identify technical limitations of the platform and propose solutions for core problems in digital pathology.
Contribute to scientific strategy via abstract submissions, manuscript preparation, and creation of external materials.

Master’s degree plus 1-2 years of professional experience or Ph.D in Computer Science or related field, preferably with a focus on artificial intelligence and machine learning.
1-2 years of experience in developing and deploying state-of-the-art machine learning and computer vision models in products/platforms.
Excellent proficiency in Deep Learning frameworks (Pytorch/Tensorflow), Python (including Scipy, Numpy, Pandas) and software engineering skills.
Strong analytical and quantitative skills.
Familiarity with overall machine learning and computer vision model development lifecycle including data pipelines, model training, evaluation and deployment.
Publications or research in fields related to artificial intelligence and biomedical science is preferred.
Intellectual curiosity and the ability to learn quickly in a complex space.