AI/ML Engineering Manager — Scale Production ML

Lyra Health, Inc.

Northern (KY)

Hybrid

USD 161,000 - 222,000

Full time

5 days ago
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Benefits offered by this job

Healthcare coverage
Equity in the company
401K with matching
Monthly tech allowance

Job summary

Lyra Health is seeking a strategic Manager, AI/ML Engineering to lead and scale a high-impact ML/AI engineering team. You will translate technical vision into production-grade systems with clinical precision and high-availability reliability.

You’ll balance long-term technical strategy with hands-on people leadership, develop talent, and build strong cross-functional partnerships with product, data science, and clinical teams to advance Lyra Empower.

Qualifications

  • Proven experience in engineering management leading ML/AI teams in production.
  • Strong ability to develop talent, manage performance, and foster collaboration.
  • Experience balancing long-term strategy with day-to-day leadership.
  • Deep ML/AI knowledge: transformers, neural networks, fine-tuning.

Responsibilities

  • Lead and mentor a high-impact ML/AI engineering team.
  • Own the quarterly AI/ML roadmap and ensure alignment with business goals.
  • Foster an inclusive, high-performance culture and strong cross-functional partnerships.
  • Collaborate with Product Management and Data Science to translate clinical requirements into production models.
  • Oversee ML SDLC, from experimentation to scalable microservices on Kubernetes.
  • Provide architectural guidance to scale team impact.

Skills

Engineering management
People leadership
Strategic mindset
ML/AI domain expertise
Operational excellence
Strategic communication

Tools

Kubernetes
AWS
ML tooling

Job description

Lyra Health is seeking a strategic Manager, AI/ML Engineering to lead and scale a high-impact ML/AI engineering team. You will translate technical vision into production-grade systems with clinical precision and high-availability reliability.

You’ll balance long-term technical strategy with hands-on people leadership, develop talent, and build strong cross-functional partnerships with product, data science, and clinical teams to advance Lyra Empower.

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