Software Engineer 3057-1
Software Engineering
Remote
Posted on Aug 26, 2026
Our client is currently seeking a Software Engineer 3057-1
The Role
As a ML Engineer, you’ll 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.
You’ll partner closely with Research Scientists to make models production-ready with clear handoff contracts, performance gates, and packaging standards; and with ML Platform & Ops for safe rollouts.
At a minimum, we would expect 5 years of software engineering experience with 2 years of ML experience.
What You’ll Do
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
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