ML Engineer — Healthcare AI Platform
- Pay Rate: $120.00 – $200.00/hour (on W2)
- Work Type: Hybrid – 3 days Onsite at the company's office hub in a major metro area.
- Location: Austin, TX
- Contract Length: 1+ Years
Raise is currently hiring a contract team member on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader.
About the Customer
The customer operates an AI-native healthcare revenue platform that reasons over full medical records, payer rules, and financial workflows to automate medical coding, billing, and follow-up.
The company's agentic AI systems are already deployed in production at a large share of the top U.S. health systems, processing hundreds of millions of patients encounters each year, including well over 100M claims, 500M+ patient encounters, and over a billion workflow actions and outcomes annually.
The role offers startup-level ownership paired with enterprise-level impact, building AI that ships, scales, and measurably improves how healthcare works.
The Role
As an ML Engineer, the successful candidate will lead the development of early-phase, high-impact ML systems, own the internal ML dev environment (instrumentation, benchmarking, experimentation), and help bring scientific rigor into production environments so ideas move rapidly from research to validated pipelines.
The role partners closely with research scientists to make models production-ready with clear handoff contracts, performance gates, and packaging standards, and with ML platform and operations teams for safe rollouts.
The company is hiring across several seniority levels, from mid-level up to Staff. At minimum, the role requires 5 years of software engineering experience with 2 years of ML experience.
Key Responsibilities
- Build training and inference infrastructure for a fast-moving research team, including experiment tracking and benchmarking
- Design and develop scalable AI systems for retrieval, ranking, categorization, and generative AI over large-scale unstructured healthcare data
- Design, build, and operate AI/ML systems end-to-end: from problem framing and model selection to production build and deployment, to ongoing improvement
- Work backwards from complex business problems to define AI abstractions and system architectures that are scalable, explainable, and maintainable
- Bring rigor to scientific decisions by defining the right evaluation datasets, metrics, and validation strategies tied to real outcomes
- Design ranking and triage models that determine how work is routed between AI agents and human operators
- Establish feedback loops and data flywheels that continuously improve model performance in production
- Partner closely with software engineers, product managers, clinicians, and operators to ensure AI/ML systems deliver measurable business value
- Prototype and scale new AI capabilities from 0 → 1, then harden them for real-world production use
- Mentor other AI/ML engineers and promote best practices across modeling, evaluation, and deployment
Looking for meaningful work? We can help
Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer, and request accommodation: https://raise.jobs/accommodations/
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