Lyra Health

Lyra Health

Senior AI/ML Platform Engineer

United States · Senior

Sponsorship not specified$143k-$197kDetected 1 day ago
PythonJavaKotlinFastAPIVector DatabasesAWSCloud PlatformsDockerKubernetesPlatform EngineeringWebSocketsMachine LearningLLMsRAGAI OrchestrationResearchCommunicationCollaborationMentoringOrganizational Skills

> stay_score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

> community_outcomes

No reports yet — be the first to help the next applicant.

About the role

  • 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.
  • The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members.

Requirements

  • 4+ years of experience delivering production ready products
  • Experience with Graph Databases (e.g., Neo4j, AWS Neptune) and integrating them into AI/Knowledge systems (e.g., GraphRAG)

Compensation

  • 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.
Apply directly at Lyra Health →Create a free account for alerts like thisView Lyra Health immigration profile

This listing is sourced directly from Lyra Health's careers page and normalized into a canonical job model.