
Senior Machine Learning Engineer
Posted Jul 30

Posted Jul 30
This is a fully remote position, open to applicants in United States.
• Assist in revolutionizing healthcare through the use of AI.
• Work collaboratively across the organization with various departments, including Product, Sales, and Clinical Operations.
• Propel change in healthcare by developing products that provide an integrated end-to-end experience for healthcare services.
• Foster a positive engineering culture while effectively managing speed and technical debt.
• Over 5 years of experience in software engineering, particularly in creating production-grade machine learning systems, backend infrastructure, or MLOps.
• A graduate degree in Computer Science, Statistics, or a related quantitative discipline.
• Advanced proficiency in Python and SQL, with the capability to produce efficient and maintainable code for machine learning applications.
• Experience in developing and maintaining ML pipelines for model training, evaluation, and deployment (familiarity with tools such as AWS Sagemaker or Bedrock is preferred).
• Previous experience in the healthcare sector is beneficial but not mandatory.
• An entrepreneurial mindset and the ability to convey complex technical concepts will be crucial as you collaborate with our remote team to tackle innovative challenges at the crossroads of AI and compassionate care delivery.
• Equity
• Benefits
Doma
CSC Generation
Accelerant
Capgemini
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