Senior Machine Learning Engineer

Counterpart Health

Remote
$150,000 - $200,000 usd py
Remote
Design, implement, validate ml/nlp/llm platforms
Create, debug, interpret ml/nlp models
Build tools for insights to action
Counterpart Health is seeking a Senior Machine Learning Engineer to enhance their healthcare technology platform, Counterpart Assistant, focusing on improving patient outcomes through machine learning and natural language processing. The ideal candidate will have substantial experience in machine learning engineering and a passion for creating impactful solutions within the healthcare sector

Job Summary

  • Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs.
  • We offer competitive compensation, comprehensive health coverage, and professional development opportunities.
  • Counterpart Health is transforming healthcare by supporting Primary Care Physicians with an AI-enabled solution to improve patient care and outcomes.

Matching Summary

Match Score: 85

Counterpart Health is seeking a Senior Machine Learning Engineer to enhance their healthcare technology platform, Counterpart Assistant, focusing on improving patient outcomes through machine learning and natural language processing. The ideal candidate will have substantial experience in machine learning engineering and a passion for creating impactful solutions within the healthcare sector.

Salary

$150,000 - $200,000 USD

Skills & Requirements

Must-have

  • design, implement, validate ML/NLP/LLM platforms
  • create, debug, interpret ML/NLP models
  • build tools for insights to action
  • use commercial and open source tools
  • Python, data science libraries, production deployment
  • Natural Language Processing and/or LLMs
  • feature engineering, selection, ML techniques
  • interpret, modify, debug ML/NLP/LLM models
  • build and refactor distributed systems

Nice-to-have

  • create impact with ML-driven insights
  • act autonomously in ambiguous environments
  • value collaboration and feedback
  • work in a fluid environment
  • jump in to fix broken systems
  • make sustainable systems
  • positive attitude for hard problems
  • healthcare experience preferred

Key Requirements

  • 5+ years of experience in ML Engineering
  • experience with Python, numpy, pandas, sklearn, tensorflow, pytorch
  • experience with NLP and/or LLMs
  • experience interpreting, modifying, and debugging production ML/NLP/LLM models
  • experience scaling impact of other engineers

Work Rights

Not specified

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