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Machine Learning Engineer II

PathAI

Salary not specified
Aug 26, 2025
Remote, US
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PathAI aims to improve patient outcomes by developing and deploying AI-powered pathology solutions. The company needs Machine Learning Engineers to develop and deploy machine learning models for AI products and services, addressing the challenge of improving the accuracy of diagnosis and efficacy of treatment of diseases like cancer.

Requirements

  • Experience in developing and deploying state-of-the art machine learning models in products
  • Proficiency in Deep Learning frameworks (Pytorch/Tensorflow)
  • Proficiency in Python (including Scipy, Numpy, Pandas)
  • Strong software engineering skills
  • Strong analytical and quantitative skills
  • Strong track record with the overall machine learning and computer vision model development process including data pipelines, model training, evaluation and deployment.
  • Publications or research in fields related to artificial intelligence and biomedical science is strongly preferred

Responsibilities

  • Lead the planning and execution of machine learning model development for research and product development projects with ML best practices
  • Contributes towards internal product and translational research experiment design, ideation, analysis, documentation and experimental plans
  • Understands product requirements in their biological and clinical context and proposes changes to model design, product requirements, or analysis plan to ensure market fit
  • Demonstrates mastery of established and state-of-the-art ML methods and upholds ML Team’s best practices for ML research and product development
  • Identify technical gaps, propose and initiate new projects by articulating rationale and experimental plans that translate technical improvements into business impact
  • Actively participate in and propose improvements to team processes and supporting initiatives, including but not limited to: project processes, technical design reviews, knowledge sharing, hiring and onboarding.
  • Actively support scientific strategy with abstract submissions to conferences, manuscript preparation, and creation of marketing and other materials for external audiences

Other

  • Master’s degree plus 3-4 years of professional experience or Ph. D. in Computer Science, Computational Biology or related field, preferably with a focus on artificial intelligence and machine learning
  • Strong communication skills. Intellectual curiosity and the ability to learn quickly in a complex space