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Manager, AI/ML Engineering
Lyra Health. Facilitate technical growth through weekly 1:1s, performance management, and clearly defined career trajectories for machine learning engineers .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading and scaling high-performing AI/ML engineering teams, with a strong foundation in machine learning systems and cloud-native architecture. Capable of translating complex clinical requirements into production-grade systems while ensuring compliance with regulatory standards.
Highest-signal resume keywords
Engineering ManagementMachine Learning SystemsCloud-Native Solutions on AWSProduction Code in Java or KotlinAI/ML Systems in Regulated Environments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningTransformersNeural NetworksML Software Development LifecycleDataset LineageAutomated EvaluationMicroservices DeploymentHigh-Performance Production CodeAI/ML System ArchitectureModel Governance
Soft Skills
Performance ManagementTeam Culture BuildingMentorshipCollaborationStrategic Prioritization
Tools & Technologies
KubernetesAWSInternal Developer PlatformsML Tooling
Industry Keywords
HIPAA ComplianceSOC 2PHIPIIClinical Program Mapping
Tech Stack
Tools & technologiesAWSCloudJavaKotlinKubernetesMicroservices
About the role
Key responsibilities & impact- Facilitate technical growth through weekly 1:1s, performance management, and clearly defined career trajectories for machine learning engineers
- Drive the quarterly planning lifecycle for AI/ML workstreams and prioritize initiatives such as clinical program mapping
- Establish an inclusive, high-performance engineering environment through knowledge sharing, mentorship, and rigorous technical standards
- Collaborate with Product Management and Data Science leads to translate complex clinical requirements into robust, safety-oriented production models
- Oversee the ML software development lifecycle through design reviews and guide the evolution from experimental research to stable Kubernetes-deployed microservices
- Provide strategic architectural guidance and prototypes to scale the team’s collective technical impact
- Spearhead execution of Lyra’s machine learning roadmap
- Scale and mentor a high-impact AI/ML engineering team
- Ensure technical vision translates into production-grade systems with clinical precision and high availability
- Build cross-functional partnerships with physicians, therapists, data scientists, and product leaders
Requirements
What you’ll need- Proven experience in engineering management, specifically leading and scaling high-performing ML/AI teams within production environments
- Strong ability to develop technical talent, manage performance, and build a collaborative team culture
- Demonstrated experience balancing long-term technical strategy and model governance with day-to-day people leadership
- Strong technical foundation in machine learning systems, including transformers, neural networks, and fine-tuning
- Mastery of the ML software development lifecycle, including dataset lineage, automated evaluation, and deploying microservices at scale
- Strong experience architecting cloud-native solutions on AWS or equivalent cloud providers
- Exceptional ability to distill ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business disciplines
- Experience writing high-performance production code in Java or Kotlin
- Experience architecting AI/ML systems in regulated environments, including HIPAA compliance, SOC 2, and handling PHI/PII
- Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers
Benefits
Comp & perks- Discretionary bonuses
- Comprehensive healthcare coverage including medical, dental, vision, FSA/HSA, life and disability insurances
- Lyra for Lyrians coaching and therapy services
- Equity through discretionary restricted stock units
- Competitive paid time off including vacation, sick days, and company holidays
- Paid parental leave
- 401(k) with up to 3% matching
- Monthly tech allowance
- Well-being perks and activities
- Surprise swag
- Regular community celebrations