Charlie Health Engineering, Product & Design
Staff Machine Learning Engineer
New York, NY · Staff+ · Full-time
Sponsorship not specified$175k-$255kDetected 32 days ago
AlgorithmsSQLMachine LearningData ScienceLLMsAgentic AIMLOpsA/B TestingCommunicationCollaborationMentoringPublic Speaking
About the role
- If you care about using data-driven insights to improve outcomes, this team is for you.
Responsibilities
- 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
Requirements
- Experience designing and operating production ML systems at scale, including experimentation, deployment, and monitoring
Compensation
- The total target base compensation for this role will be between $175,000-255,000 per year at the commencement of employment.
Benefits
- Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees.
- Read more about our benefits here.
- Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.
- If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings.
- In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team.
- All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses.
- Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact
- Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing
- A bachelor's degree in a technical field, plus 8+ years of professional experience developing and delivering production software, including machine learning models
- 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
- Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations.
Company info
- Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company.
Visa & Work Authorization
- You can reply STOP to opt out at any time.
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