Manager, AI/ML Engineering

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $161k - $221.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 14%

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Logo of Lyra Health

Lyra Health

501 - 1000 employees

Founded 2015

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

💰 $235M Series F on 2022-01

Healthcare • Healthcare Insurance • SaaS

Lyra Health is a mental health company that partners with organizations to deliver comprehensive and effective global workforce mental health benefits. By providing evidence-based mental health care, Lyra Health boosts employee well-being and drives business impact. Their platform offers high-quality mental health support through a global network of professionals, utilizing AI matching technology to connect members quickly with suitable providers. Lyra Health serves families, couples, adults, and children, offering support for diverse mental health needs. Their programs aim to improve employee health, productivity, and reduce healthcare costs while providing a seamless member experience.

📋 Description

• 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

• 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

• 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

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