Staff ML Engineer

Who you are

• 8+ years of experience deploying complex ML/AI solutions into mission-critical production environments, with a proven track record of technical leadership
• Deep System & Software Engineering Expertise: Mastery of Python, RESTful API design, Protobuf, and microservices architecture
• Production AI/ML Infrastructure Mastery: Deep expertise with Docker, Kubernetes, container orchestration, and real-time inference services
• Modern Generative AI Architecture: Hands-on experience designing and deploying RAG pipelines, fine-tuning LLMs, managing vector databases, and building robust LLM evaluation/guardrail frameworks
• Data Layer Systems: Expertise with relational databases, low-latency key-value stores, distributed queueing system architectures (e.g., Celery, Kafka), and data pipeline orchestration
• 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

What the job involves

• We are seeking a Staff ML/AI Engineer to define and drive the architectural vision for Lyra’s machine learning and generative AI technology landscape
• In this role, you will serve as a technical anchor across the engineering and data organizations—architecting enterprise-scale AI platforms, setting technical strategy for high-impact AI/ML initiatives, and ensuring our AI products operate with top-tier reliability, security, and medical precision
• The ideal candidate is a seasoned technical leader who excels at translating complex healthcare challenges into scalable platform solutions, building consensus across cross-functional leadership, and elevating the technical bar for the entire engineering organization
• Drive AI Platform Architecture: Design and execute the long-term roadmap for Lyra’s machine learning and generative AI platform, enabling fast, safe, and reliable deployment of frontier models across the company
• Lead AI Infrastructure Vision: Architect end-to-end training, fine-tuning, and low-latency inference platforms, including centralized RAG architecture, vector databases, and enterprise evaluation/guardrail frameworks
• Set Engineering Excellence Standards: Establish organizational standards for the full AI/ML SDLC—from dataset lineage and CI/CD pipelines to automated model evaluation, red-teaming, and production monitoring
• Cross-Functional Technical Leadership: Partner closely with Product Management, Data Science, Security, and Clinical leaders to translate strategic clinical goals into foundational AI capability roadmaps
• Mentor and Multiply Impact: Elevate the engineering culture by mentoring Senior ML Engineers, conducting high-leverage architectural reviews, and establishing engineering best practices across teams
• Hands-On Leadership: Lead by example through technical prototypes, critical-path architecture, and strategic coding contributions
• And of course, you will be coding!
• Lyra is for you if you:
• Thrive on working with brilliant teammates to solve complex, meaningful problems
• Are passionate about making a social impact and supporting people at their most challenging moments
• Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers

Benefits

• Full access to Lyra’s mental health services for employees and their eligible dependents—at no charge
• Medical, dental, and vision benefits, and free monthly membership to One Medical
• 401k and equity options
• Four weeks of vacation and paid holidays
• Monthly tech stipend