Charlie Health
Senior Machine Learning Platform Engineer
New York, NY · Senior · Full-time
Sponsorship not specified$170k-$220kDetected 32 days ago
PythonGoRustC++AWSGCPKubernetesTerraformCI/CDPlatform EngineeringMachine LearningData ScienceLLMsAgentic AIMLOpsSystems EngineeringCommunicationCollaborationMentoringPublic Speaking
About the role
- Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our ML and AI capabilities are expanding rapidly-powering recommendation systems, clinical decision support, agentic AI products, and developer tooling-and the infrastructure underneath needs to scale with them.
- As our first dedicated ML Platform Engineer, you'll define the technical direction and build the foundational systems that our data scientists, ML engineers, and product teams depend on to ship AI-powered features reliably and at scale. We have several models in production today and are investing in hosted GPU inference to support the next generation of our AI capabilities. You'll inherit and evolve existing infrastructure while building new platform capabilities-from multi-tenant model serving and GPU inference pipelines to multimodal data management, evaluation frameworks, observability, and infrastructure as code. You'll own the platform layer that makes ML/AI development at Charlie Health fast, safe, and repeatable as the team grows. If you care about building the systems that let others build great things, this team is for you.
- Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide.
Responsibilities
- Define technical direction for ML/AI infrastructure and make build-vs-buy decisions as the founding platform engineer
- Design and operate multi-vendor AI infrastructure supporting client-facing and clinician-facing LLM applications across multiple LLM providers
- Design, build, and operate production model serving systems
- maintain infrastructure as code for reproducible ML environments, training pipelines, and deployment workflows
- Develop high-performance GPU inference pipelines with low latency and high availability
- Own the multimodal data pipeline layer-manage ingestion, processing, and serving of text, audio, and structured clinical data for ML and AI systems
- Create reliable infrastructure for agentic AI systems, including orchestration, monitoring, evaluation, and observability tooling
- Build developer tooling that accelerates data science and ML engineering workflows across the organization
- Own AI observability-build monitoring, alerting, and debugging capabilities for production ML systems
- Partner with ML engineers, data scientists, and product teams to understand infrastructure needs and translate them into scalable platform capabilities
Requirements
- 4+ years of professional experience in software engineering, with at least 2 years focused on ML infrastructure, ML platform, or AI systems engineering
- Strong software engineering fundamentals in Python and deep infrastructure expertise
- Familiarity with cloud ML services (AWS SageMaker, GCP Vertex AI, or similar) and CI/CD for ML pipelines
- Experience with infrastructure as code (Terraform, Pulumi, or similar) and container orchestration (Kubernetes, ECS)
Nice to have
- Experience with a systems language (Go, Rust, or C++) is a plus
Compensation
- The total target base compensation for this role will be between $170,000-$220,000 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.
- At Charlie Health, we value being an
- We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.
- By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application.
- Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing
- 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
- We strive to cultivate an environment where individuals can be their authentic selves.
- Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company.
Equal opportunity
- Equal Opportunity Employer.
- Equal Opportunity Employer means every member of our team feels as though they are supported and belong.
- Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.
Visa & Work Authorization
- You can reply STOP to opt out at any time.
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This listing is sourced directly from Charlie Health's careers page and normalized into a canonical job model.