Manager, AI/ML Engineering at Lyra Health in United States

Job description

• We are looking for a strategic leader to spearhead the execution of Lyra's machine learning roadmap. In this capacity, you will scale and mentor a high-impact AI/ML engineering team, ensuring our technical vision translates into production-grade systems that operate with clinical precision and high-availability reliability.
• The ideal candidate is an experienced engineering manager who excels at balancing long-term technical strategy with hands-on people leadership. You possess a deep passion for developing technical talent, building robust cross-functional partnerships, and cultivating a culture of operational excellence within an AI-driven organization.
• Collaborative Innovation: Thrive on working alongside brilliant colleagues to solve complex, mission-critical challenges.
• Social Impact: Are deeply motivated by making a tangible difference and supporting individuals during their most vulnerable moments.
• Cross-Functional Partnership: Enjoy collaborating with a diverse group of physicians, therapists, data scientists, and product leaders.

Responsibilities

• Exceptional People Leadership: Facilitate technical growth through weekly 1:1s, performance management, and clearly defined career trajectories for machine learning engineers.
• Roadmap & Strategy Ownership: Drive the quarterly planning lifecycle for AI/ML workstreams, prioritizing essential initiatives like clinical program mapping while ensuring alignment with broader business objectives.
• Cultivate Engineering Culture: Establish an inclusive, high-performance environment by championing knowledge sharing, mentorship, and rigorous technical standards across the ML organization.
• Strategic Technical Influence: Collaborate with Product Management and Data Science leads to transform complex clinical requirements into robust, safety-oriented production models.
• ML SDLC Oversight: Maintain a high technical bar through design reviews, guiding the evolution from experimental research to stable microservices deployed on Kubernetes.
• Multiplicative Technical Vision: Provide leadership through strategic architectural guidance and prototypes, focusing on scaling your team's collective impact and technical reach.

Requirements

• Proven experience in engineering management, specifically leading and scaling high-performing ML/AI teams within production environments.
• Exceptional People Leadership: Strong ability to develop technical talent, manage performance, and build a collaborative team culture.
• Strategic Mindset: Demonstrated experience balancing long-term technical strategy and model governance with day-to-day people leadership.
• Deep ML/AI Domain Expertise: Strong technical foundation in machine learning systems (transformers, neural networks, fine-tuning) with the ability to lead others in these domains.
• Operational Excellence: Mastery of the ML SDLC, including dataset lineage, automated evaluation, and deploying microservices at scale.
• Cloud Architecture: Strong experience architecting cloud-native solutions on AWS (or equivalent cloud providers).
• Strategic Communication: Exceptional ability to distill highly ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business domain disciplines.
• Polyglot Engineering Background: Experience writing high-performance production code in Java or Kotlin.
• Healthcare & Sensitive Data Expertise: Experience architecting AI/ML systems within highly regulated environments (HIPAA compliance, SOC2, handling PHI/PII).
• MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers.

Skills

Required

• Engineering management
• Leading and scaling ML/AI teams
• People leadership
• Technical talent development
• Performance management
• Strategic planning
• Model governance
• Cloud architecture (AWS or equivalent)
• Strategic communication
• Influencing leadership

Preferred

• Java or Kotlin
• HIPAA compliance
• SOC2
• Handling PHI/PII
• MLOps / platform productization

Benefits

• Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
• Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
• Lyra for Lyrians; coaching and therapy services
• Equity in the company through discretionary restricted stock units
• Competitive time off with pay policies including vacation, sick days, and company holidays
• Paid parental leave
• 401K with up to 3% matching
• Monthly tech allowance
• We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!
• We can’t wait to meet you.
• $161,000 - $221,500 a year
• As a full-time Manager, AI/ML Engineering, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $161,000 to $221,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.