Machine Learning Engineer for Healthcare Innovation

2 days ago

San Francisco, California, United States Abridge Al, Inc Full time

Abridge, a pioneer in healthcare AI, is revolutionizing clinical documentation with its cutting-edge platform. As an ML Platform Engineer at Abridge, you will play a pivotal role in scaling and deploying machine learning models to handle increasing traffic demands and integrate them with various platforms. This is an opportunity to join a trailblazing organization that is empowering deeper understanding in healthcare through AI.

Job Overview
  • We are seeking a skilled Machine Learning Engineer to design, develop, and deploy scalable and efficient ML systems.

Key Responsibilities:

  • Architect and implement ML software systems for deploying and managing models at scale.
  • Stand up ML models for inference, starting with critical models like the 'linkages' model, and ensure they are capable of handling traffic increases.
  • Develop and maintain infrastructure that supports efficient ML operations, including model evaluations, deployments, and training at scale.
  • Collaborate closely with ML researchers, engineers, and cross-functional teams to ensure seamless integration of models with services like Zoom and Athena.
  • Work with stakeholders across machine learning and operations teams to iterate on systems design and implementation.
  • Optimize and maintain the performance of ML systems to ensure high availability, fault tolerance, and smooth scalability.
  • Troubleshoot production issues and continuously improve systems to enhance performance and efficiency.

What We Offer:

  • $220,000 - $280,000 per year, based on location, experience, and qualifications.
  • A comprehensive benefits package, including medical, dental, and vision insurance, 401(k) plan, and flexible paid time off.
  • Opportunities for professional growth and development, including a $3,000 annual learning and development budget.
  • A dynamic and inclusive work environment, with a focus on diversity, equity, and inclusion.
  • The chance to work on cutting-edge projects and make a meaningful impact in the healthcare industry.

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