Staff Machine Learning Engineer New York, NY

Charlie Health, Inc.; New York (NY); On-site; USD 185,000 - 247,500; Full time

Benefits offered by this job

Comprehensive benefits

Stock options

Flexible work hours

Job summary

A leading telehealth provider seeks a Machine Learning Engineer to design and evaluate AI systems that enhance clinical outcomes. The ideal candidate will have extensive experience in developing production software, particularly machine learning models, and will operate in a hybrid work environment with a requirement of 4 days per week in the NYC office. This role offers a competitive salary and comprehensive benefits package.

Qualifications

• 8+ years of experience in production software development, including machine learning.
• Experience designing and operating production ML systems at scale.
• Excellent problem management skills with a growth mindset.

Responsibilities

• Design, train, and evaluate machine learning models and AI systems.
• Lead high-impact initiatives to improve clinical outcomes.
• Identify opportunities for data-driven automated solutions.

Skills

Machine learning

SQL

Software development

Data-driven algorithms

Mentoring

Education

Bachelor’s degree in a technical field

Master’s degree in a technical field

Doctoral degree in a technical field

Job description

Overview

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders. Behavioral healthcare can involve barriers such as limited local options and long wait times. Charlie Health delivers personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them—to expand access to meaningful care from the comfort of home.

Charlie Health leads the nation in high-acuity virtual behavioral care, delivering life-saving treatment to clients nationwide. Our Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools, enabling durable and effective treatment. You will create predictive models and workflows to match patients with the best-fit therapists and peers, and to tailor care to each client\'s individual needs. The systems you build help clinicians condense and synthesize knowledge across clients and providers into actionable guidance at every moment.

If you care about using data-driven insights to improve outcomes, this team is for you.

Responsibilities

• Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact
• Lead ambiguous, high-impact initiatives from start to finish, shaping how ML and AI systems improve clinical outcomes across the product
• Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams
• Establish best practices for ML and generative AI model evaluation, retraining, and experimentation to create clinically responsible systems
• Provide technical mentorship and help raise the quality bar across the organization
• Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing

Requirements

• A bachelor’s degree in a technical field, plus 8+ years of professional experience developing and delivering production software, including machine learning models; OR
• A master’s degree in a technical field, plus 6+ years of professional experience developing and delivering production software, including machine learning models
• A doctoral degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models
• Experience designing and operating production ML systems at scale, including experimentation, deployment, and monitoring
• Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets
• Experience developing agentic AI workflows is a plus
• 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 based in NYC

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $185,000-$247,500 per year at the commencement of employment. Pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Depending on the position, cash compensation may include stock options and other Charlie Health-sponsored benefits.

Our Values

• Congruence: Stay curious & heed the evidence.
• Commitment: Act with urgency & don’t give up.

Please do not call our public clinical admissions line in regard to this or any other job posting. Charlie Health is an Equal Opportunity Employer and values being inclusive. We encourage all qualified applicants to apply and do not discriminate on the basis of protected characteristics.