About Lyra HealthLyra 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 RoleWe are looking for an experienced Senior AI/ML Engineer to spearhead the design, development, and deployment of next-generation AI capabilities for our platform. In this role, you won't just train models in a sandbox—you will architect robust, scalable production systems that integrate predictive analytics, Natural Language Processing (NLP), and Generative AI to solve complex, real-world problems.As a senior member of the team, you will bridge the gap between data science research and production-grade software engineering, while mentoring junior engineers and influencing our AI product roadmap.Lyra is for you if you:Thrive on working with brilliant teammates to solve complex, meaningful problemsAre passionate about making a social impact and supporting people at their most challenging momentsEnjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managersResponsibilitiesDesign, train, fine-tune, and evaluate deep learning, classical ML, and foundational GenAI models (LLMs, diffusion models) to drive core product features.Build, scale, and maintain robust ML pipelines for continuous training, evaluation, and real-time/batch inference using modern MLOps frameworks.Collaborate with backend and frontend teams to integrate AI models into microservices, ensuring low latency, high availability, and optimal resource utilization.Architect scalable data pipelines for preprocessing, vectorizing, and ingestion of massive structured and unstructured datasets.Implement rigorous evaluation frameworks for model alignment, bias mitigation, guardrailing, and cost/latency optimization (e.g., quantization, distillation).Provide technical leadership, conduct thorough code reviews, and mentor junior/mid-level engineers on best practices in software craftsmanship and ML engineering.Qualifications6+ years of experience deploying ML/AI solutions in production environmentsAbility to write high-quality code in PythonExperience building RAG (retrieval-augmented generation) based solutionsExperience setting up and maintaining vector databasesA strong desire to work on ML/AI based productsA desire to learn new technologies quicklyA thoughtful approach to balancing quality and deadlines in fast-paced settingsExcellent communication skills with a talent for building consensus and alignmentStrong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forwardPreferred QualificationsExperience defining and using Protobuf messagesExperience working with Docker and deploying applications to KubernetesExperience with relational and low-latency databasesExperience working with CeleryExperience building RAG (retrieval-augmented generation) based solutionsExperience setting up and maintaining vector databasesExperience writing production code in Java/KotlinExperience building solutions on cloud infrastructure, particularly AWSExperience working with highly sensitive data in a healthcare environmentAs a full-time Senior ML Engineer (ML/AI), you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000 to 197,000. 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 servicesEquity in the company through discretionary restricted stock unitsCompetitive time off with pay policies including vacation, sick days, and company holidaysPaid parental leave401K with up to 3% matchingMonthly tech allowanceWell-being perks and activities, surprise swag, regular community celebration…and more!
