Principal AI Engineer - Personalization and Recommendation (Remote)

Rula
Los Angeles
Workplace: RemoteFull timeUSD 282,000 - 370,650 annuallyFunction: Data Science & Machine LearningSkills: ["Hands-on technical ownership","Technical leadership","Problem-solving","Cross-functional collaboration"]

Own applied AI/ML solutions that power patient-provider matching, clinical workflows, and patient engagement. Build production-grade recommendation and retrieval systems, including learning-to-rank and semantic vector search, and apply NLP and generative AI (LLMs, RAG, agents) within real clinical constraints. Define AI safety standards and help shape the broader ML platform and evaluation practices so applied ML improves outcomes without sacrificing trust or performance.

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FursaFursa
Rula
Rula
3 days ago

Principal AI Engineer - Personalization and Recommendation (Remote)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Own applied AI/ML solutions that power patient-provider matching, clinical workflows, and patient engagement. Build production-grade recommendation and retrieval systems, including learning-to-rank and semantic vector search, and apply NLP and generative AI (LLMs, RAG, agents) within real clinical constraints. Define AI safety standards and help shape the broader ML platform and evaluation practices so applied ML improves outcomes without sacrificing trust or performance.
Location: Los Angeles
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own applied AI/ML solutions that determine how well AI shows up across mental healthcare, including patient-provider matching, clinical workflows, and patient engagement.
  • •Drive search ranking, relevance, and patient-provider matching while extending broader personalization and recommendation strategies.
  • •Develop and fine-tune models (e.g., learning-to-rank, embeddings, recommendation algorithms, and LLMs) and integrate them into production systems.
  • •Design AI product-facing architectures and core ML infrastructure, and unblock complex engineering problems across applied AI delivery.
  • •Set technical standards for AI safety and define the technical strategy for scalable, durable ML platforms and evaluation systems.

Pay and Benefits

Salary: USD 282,000 - 370,650 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kRemote WorkPaid LeaveParental LeaveHome OfficeWellness Stipend

Key Requirements

  • •10+ years of software engineering, including 7+ years designing and scaling distributed systems, and 5+ years building and deploying production-grade ML applications.
  • •5+ years building and optimizing search, ranking, relevance, or recommendation engines at scale (e.g., Learning-to-Rank, collaborative filtering, semantic vector search).
  • •5+ years strong programming experience in Python and at least one backend language (preferably TypeScript, Java, or Go), plus 2+ years building and integrating foundation-model-based AI products (OpenAI, Anthropic, Gemini; e.g., RAG, agents).
  • •Experience with traditional search/retrieval infrastructure (Elasticsearch, OpenSearch) and modern vector databases (Pinecone, Weaviate, FAISS, Milvus).
  • •3+ years of MLOps, data pipelines, and rigorous evaluation systems (offline metrics and online A/B testing), with ability to define technical strategy across the AI/ML ecosystem.
Experience:HealthcareAI-powered productsDistributed systemsSearch and rankingMLOps
Skills:Hands-on technical ownershipTechnical leadershipProblem-solvingCross-functional collaboration
Tech Stack:PythonTypeScriptJavaGoOpenAIAnthropicGeminiLLMsRAGAgentsNLPLearning-to-RankEmbeddingsRecommendation algorithmsSemantic vector searchElasticsearchOpenSearchPineconeWeaviateFAISS

Company Brief

Rula
Rula (formerly Path Mental Health) is a digital behavioral-health company connecting patients with licensed therapists and psychiatric providers, focused on insurance-covered, accessible therapy and medication management delivered via a national telehealth platform.
Industry: Mental Health
Company Size: Large (251 to 1,000 employees)
Revenue: USD 250M to 500M
Growth: Scaleup
Funding: Series C
Headquarters: Los Angeles, CA, United States
Founded: 2019
WebsiteLinkedIn