Machinify
Healthcare Intelligence
Sr.Director|Engineering,ML
Neural analysis suggests this role is
optimal for Director candidates.
“Sr. Director | Engineering, ML at Machinify. Skills: ML Engineering, AI/ML Platform, Production Services, Data Science. Lead and grow AI/ML Engineering team. Coordinate execution across contributors”
What You'll Achieve.
Maximize financial outcomes; Drive down healthcare costs; Deliver and operate the core AI/ML platform; Run AI/ML systems at scale in production with reliability, observability, performance, and incident response; Ensure proof-of-concept code can be designed as production-grade services; Accelerate team excellence in coding, PR reviews, testing, observability and incident response
Industry & Context.
Drive down production incidents; Surface ambiguities early; Drive structured thinking in ambiguity
Remote - US
What They're Looking For.
Must Have
BS or MS in Computer Science (or equivalent experience), 5+ years managing teams of ~8+ engineers with hands-on technical leadership, 8+ years direct hands on technical contributor in backend services experience, 3+ years specifically building AI/ML production-grade services at scale for multiple use cases, Direct co-working with data science and engineering, Java, Scala, Rust, or similar backend languages, Python, Understanding of what it takes to productize ML/AI platforms — workflows, serving, observability, reliability, and scale, Fluent enough in data science concepts to be a real partner to DS leadership, communicator, organized, proactive, Comfortable with ambiguity, taking the initiative
Nice to Have
Healthcare domain experience
What You'll Do.
Lead and grow AI/ML Engineering team
Coordinate execution across contributors
operate AI/ML platform
Run AI/ML systems at scale
Build culture of operational excellence
Create processes for production-grade services
Partner with Chief AI Officer
Build forward-looking product strategy
Drive structured thinking in ambiguity
Run streamlined stand-ups
Provide leadership in AI technologies
Keep up with LLM/agent advances
How You'll Work.
Team & Collaboration
Coordinating execution across contributors including data scientists; Partner with the Chief AI Officer and Product Manager; Run tight, streamlined stand-ups across engineering and data science; Ensuring the cross-functional team can utilize AI technologies
Communication Scope
Communicator
Process & Methodology
Structured management of deliverables, Capacity planning for driving predictability and velocity
Full Job Description
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. We're seeking a hands-on, technically deep Sr/Director of Engineering to lead our ML Engineering team! You will manage and grow a team of engineers who build and own the core AI/ML platform for the company, and running it at massive scale. You will also serve as a key thought partner to our Chief AI Officer, bridging the gap between data science proof-of-concepts and scalable, production-grade services. The ideal candidate blends AI/ML engineering depth with applied data science fluency. You understand what it takes to productize AI/ML capabilities — serving, observability, reliability, and scale — and you're fluent enough in data science concepts to anticipate platform needs and influence upstream design decisions. You have opinions on LLM and agent architecture, not just executing someone else's roadmap. You're structured in managing deliverables across engineering and data science, surface ambiguities early, and drive down production incidents with a culture of efficient response. Does this sound like the right opportunity to explore?... Let's connect! (What you'll do) Responsibilities/Impact: Lead and grow the AI/ML Engineering team, while coordinating execution across contributors including data scientists on collaborative projects. Design, deliver and operate the core AI/ML platform: agent frameworks, evaluation harnesses, labeling systems, document processing sy
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