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Machine Learning Science Manager - Remote

Posted 41 weeks ago
Software Development
Full Time
USA
$250,000 - $300,000+/year

Overview

Abridge is seeking a Machine Learning Science Manager to lead a team of applied scientists in developing technology for the medical domain, focusing on machine learning and natural language processing.

In Short

  • Lead and manage a team of research scientists.
  • Drive advancements in medical NLP.
  • Contribute original research to the community.
  • Define and develop solutions for clinical problems.
  • Engage with clinicians for product feedback.
  • Focus on results in ambiguous situations.

Requirements

  • Advanced degree in Computer Science, Electrical Engineering, Mathematics, or equivalent experience.
  • Proven leadership and team management skills.
  • Experience with open source and deployed technology.
  • Strong programming skills in machine learning.
  • Experience with LLM-based solutions.
  • High-impact publications in AI conferences.
  • Familiarity with deep learning libraries and statistical analyses.

Benefits

  • Flexible/Unlimited PTO.
  • Equity for salaried team members.
  • 100% medical insurance premium coverage.
  • Learning and Development budget of $3,000/year.
  • 401k Plan for retirement savings.
  • 16 weeks paid parental leave.
  • Home Office Budget of up to $1,600.
  • 30 days of paid Sabbatical Leave after 5 years.
Abridge logo

Abridge

Abridge is a pioneering healthcare technology company founded in 2018, dedicated to enhancing understanding in medical conversations through its AI-powered platform. The company focuses on improving clinical documentation efficiency, allowing clinicians to prioritize patient care. Abridge's enterprise-grade technology converts patient-clinician interactions into structured clinical notes in real-time, featuring deep integrations with electronic medical records (EMR). As leaders in generative AI for healthcare, Abridge is committed to responsible AI deployment across health systems, backed by a diverse team of MDs, AI scientists, and technologists. The company fosters a culture of innovation and collaboration, aiming to transform the healthcare experience for both providers and patients.

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