Staff ML Engineer – ML/AI

Posted 1ds ago

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Job Description

Staff ML/AI Engineer architecting Lyra Health’s enterprise AI platforms for evidence-based mental health care. Driving generative AI infrastructure, reliability, security, and clinical precision.

Responsibilities:

  • Design and execute the long-term roadmap for Lyra’s machine learning and generative AI platform
  • Enable fast, safe, and reliable deployment of frontier models across the company
  • Architect end-to-end training, fine-tuning, and low-latency inference platforms
  • Develop centralized RAG architecture, vector databases, and enterprise evaluation/guardrail frameworks
  • Establish organizational standards for the full AI/ML SDLC, including dataset lineage, CI/CD pipelines, automated model evaluation, red-teaming, and production monitoring
  • Partner with Product Management, Data Science, Security, and Clinical leaders to translate strategic clinical goals into AI capability roadmaps
  • Mentor Senior ML Engineers and conduct architectural reviews
  • Establish engineering best practices across teams
  • Lead technical prototypes, critical-path architecture, and strategic coding contributions
  • Write production code

Requirements:

  • 8+ years of experience deploying complex ML/AI solutions into mission-critical production environments, with a proven track record of technical leadership
  • Mastery of Python, RESTful API design, Protobuf, and microservices architecture
  • Deep expertise with Docker, Kubernetes, container orchestration, and real-time inference services
  • Hands-on experience designing and deploying RAG pipelines, fine-tuning LLMs, managing vector databases, and building LLM evaluation/guardrail frameworks
  • Expertise with relational databases, low-latency key-value stores, distributed queueing system architectures such as Celery and Kafka, and data pipeline orchestration
  • 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
  • Preferred: experience writing high-performance production code in Java or Kotlin
  • Preferred: experience architecting AI/ML systems in regulated environments, including HIPAA compliance, SOC2, and handling PHI/PII
  • Preferred: experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers

Benefits:

  • 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
  • Well-being perks and activities
  • Surprise swag
  • Regular community celebration