New York or New York Hybrid Employment USD 170,000 - 220,000 Yearly

Charlie Health is hiring a Senior Machine Learning Engineer

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care. As a Senior Machine Learning Engineer on the Matching and Outcomes team, you will build products to measure and improve clinical outcomes, including provider recommendation systems and clinical decision support tools. You'll create predictive models and workflows to match patients with therapists and enable clinicians to tailor care.

What You'll Do

  • Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact.
  • Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams.
  • Pioneer new approaches to measure and validate outcomes impact through advanced experimentation and causal inference techniques.
  • Utilize ML infrastructure to serve model inferences in real time using live data streams.
  • Write production code within a backend Python monolith to invoke ML predictions.
  • Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing.

What We're Looking For

  • A bachelor’s degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models.
  • A master’s or doctorate degree in a technical field, plus 2+ years of professional experience developing and delivering production software, including machine learning models.
  • Expertise in Python for ML (pandas, sklearn, etc.) and backend server development (FastAPI).
  • Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets.
  • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations.
  • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun.
  • This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC.

Nice to Have

  • Experience developing agentic AI workflows is a plus.

Technical Stack

  • Python, pandas, sklearn, FastAPI, SQL

Team & Environment

You will join the Matching and Outcomes team, which is entirely based out of our NYC office.

Benefits & Compensation

  • Salary: $170,000-$220,000 per year + equity via stock options.
  • Comprehensive benefits are provided to all full-time, exempt employees.

Work Mode

This is a hybrid role requiring 4 days per week in our New York City, NY office in the Flatiron District.

At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves.

Required Skills
Pythonpandasscikit-learnFastAPISQLMachine LearningBackend DevelopmentData CurationProduction SoftwareProblem Solving
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International client base
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About company
Charlie Health

Charlie Health connects the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection for people navigating mental health conditions, substance use disorders, and eating disorders.

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Job Details
Department Data and Analytics
Category data
Posted 14 days ago