Senior Machine Learning Engineer

Included Health is looking for a Senior Machine Learning Engineer to build and operate production machine learning systems that improve healthcare outcomes, member experience, and business performance. This role sits at the intersection of machine learning, software engineering, and product development. You will help turn promising models into reliable, observable, and reusable production capabilities, while partnering closely with product, clinical, data science, and data engineering stakeholders

#### Why this role is exciting

• You will help shape the next generation of ML systems at Included Health.
• You will work on high-impact problems where model quality, system reliability, and product fit all matter.
• You will have the opportunity to influence both the architecture of our ML platform and the way machine learning is applied in real member and clinical workflows.

### Responsibilities

• Lead the design, deployment, and operation of production machine learning systems for both batch and online use cases, with a deep focus on reliability, scalability, and maintainability.
• Build and improve the infrastructure for the ML lifecycle. This includes training pipelines and inference workflows. It also covers model deployment patterns, monitoring, alerting, and automating retraining.
• Partner with data scientists, engineers, product managers, and domain stakeholders to translate ambiguous business problems into practical ML solutions with clear validation plans and measurable impact.
• Guide the shift from prototype to a robust production system. This includes several tasks. These tasks include model packaging and orchestration. They also involve observability, documentation, and operational guardrails.
• Improve developer experience for ML at Included Health by creating reusable patterns, templates, tooling, and documentation that make it easier for other engineers to ship production-grade models.
• Design and optimize workflows for model evaluatio...