Talent.com
Machine Learning Engineer

Machine Learning Engineer

Metric BioAlameda, CA, United States
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Metric Bio is recruiting on behalf of a San Francisco–based digital health company that is building an AI-powered platform to transform patient care and healthcare delivery. We are seeking a Machine Learning Engineer who is passionate about applying advanced ML techniques to solve complex challenges in healthcare. This is an opportunity to work on a modern stack with a team that values hands-on technical depth, collaboration, and mission-driven impact.

Responsibilities :

  • Design, train, and optimize machine learning models for healthcare applications, including natural language processing, patient risk scoring, and workflow automation.
  • Develop and maintain production-grade ML pipelines using MLOps tools (MLflow, Kubeflow, SageMaker, or similar).
  • Collaborate with software engineers, data scientists, and clinicians to integrate ML models into scalable production systems.
  • Contribute hands-on to engineering across the company’s technical stack : Python / Django, Vue, Kubernetes, and GCP.
  • Ensure reliability, fairness, and compliance of models with healthcare standards (HIPAA, HITRUST).
  • Participate in code reviews, pair programming, and architecture discussions as part of a collaborative engineering culture.

Qualifications :

  • 3–6 years of experience as a Machine Learning Engineer, Applied ML Scientist, or related role.
  • Strong programming skills in Python and deep familiarity with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Hands-on experience deploying ML models into production environments.
  • Cloud expertise, ideally with GCP; Kubernetes and containerization experience preferred.
  • Knowledge of healthcare data formats (FHIR, HL7) or experience with digital health systems strongly preferred.
  • Excellent communication and problem-solving skills, with the ability to collaborate across technical and clinical teams.
  • Passion for leveraging AI to improve patient outcomes and healthcare delivery.
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    Machine Learning Engineer • Alameda, CA, United States

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