Manager, AI/ML Engineering

Lyra Health; New York (NY); Vor Ort; USD 161.000 - 222.000; Vollzeit

Benefits dieser Stelle

Healthcare coverage

Equity in company

401K with match

Monthly tech allowance

Parental leave

Zusammenfassung

Lyra Health is seeking an experienced engineering manager to lead and scale its ML/AI engineering team, translating a strategic AI roadmap into production-grade, highly available systems.

The role emphasizes mentoring engineers, driving cross-functional collaboration with Product Management and Data Science, and maintaining rigorous SDLC practices across cloud deployments on AWS and Kubernetes.

Qualifikationen

• Proven experience in engineering management leading ML/AI teams in production environments.
• Strong ability to develop technical talent, manage performance and build a collaborative team culture.
• Strategic mindset balancing long-term technical strategy with day-to-day leadership.
• Deep ML/AI domain expertise in transformers, neural networks, fine-tuning and related tooling.

Aufgaben

• Lead and mentor a high-impact ML/AI engineering team with weekly 1:1s and career planning.
• Own roadmap and quarterly planning for AI/ML workstreams aligned with business goals.
• Foster an inclusive, high-performance engineering culture with strong technical standards.
• Collaborate with Product Management and Data Science to translate clinical needs into production models.
• Oversee ML SDLC from research to stable microservices deployed on Kubernetes.
• Provide architectural leadership to scale the team's impact and capabilities.

Kenntnisse

Engineering management

ML/AI leadership

Strategic thinking

Cross-functional collaboration

Cloud architecture (AWS)

Tools

Kubernetes

AWS

ML tooling

Jobbeschreibung

About Lyra Health

Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.

About the Role

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.

Why Lyra?

• 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Compensation & Benefits

$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. 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… more!

Equal Opportunity Employer

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, summarizing interviews, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.