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Staff ML Engineer (ML/AI)

1 month, 1 week ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
AWS Celery CI/CD Docker Generative AI HIPAA Java Kafka Kotlin Kubernetes Machine Learning Microservices MLOps Python REST API
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Lyra Health

Lyra Health

Lyra Health is a global leader in mental health benefits, connecting companies and employees to world-class therapists and coaches. Their innovative platform offers fast, reliable access to evidence-based care for organizational well-being.

Health Care Providers & Services
1K-5K
Founded 2015
$627M raised
View All Jobs 48

Description

  • Design and execute the long-term roadmap for Lyra’s machine learning and generative AI platform.
  • Architect end-to-end training, fine-tuning, and low-latency inference platforms, including RAG, vector databases, and evaluation and guardrail frameworks.
  • Establish standards for the AI/ML SDLC, including dataset lineage, CI/CD, automated evaluation, red-teaming, and production monitoring.
  • Partner with Product Management, Data Science, Security, and Clinical leaders to turn clinical goals into AI platform roadmaps.
  • Mentor Senior ML Engineers and raise engineering practices through architectural reviews and best-practice development.
  • Lead technical prototypes, critical-path architecture work, and strategic coding contributions.
  • Contribute hands-on coding to key initiatives.

Requirements

  • 8+ years of experience deploying complex ML/AI solutions in mission-critical production environments.
  • Deep expertise in Python, RESTful API design, Protobuf, and microservices architecture.
  • Strong experience 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 and guardrail frameworks.
  • Experience with relational databases, low-latency key-value stores, distributed queueing systems such as Celery or Kafka, and data pipeline orchestration.
  • Strong experience architecting cloud-native solutions on AWS or equivalent cloud providers.
  • Exceptional ability to simplify ambiguous technical problems and influence leadership across engineering, product, and business teams.
  • Experience writing high-performance production code in Java or Kotlin (preferred).
  • Experience architecting AI/ML systems in regulated environments involving HIPAA, SOC2, PHI, or PII (preferred).
  • Experience building internal developer platforms or ML tooling used by multiple data scientists and engineers (preferred).

Benefits

  • Equal Opportunity Employer policy with non-discrimination protections.
  • Privacy notice outlining how applicant data is collected, used, and retained.
  • Optional voluntary demographic information collection for diversity and inclusion purposes.
  • Data privacy rights for applicants outside the U.S., including access, deletion, correction, and portability requests.

Interested in this position?

Apply directly on the company website

Apply Now

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