Principal AI Engineer - Personalization and Recommendation (Remote)

Rula · Remote · Remote - United States ·
Fully remoteFull-timeLead8+ years
COMPENSATION
$282k – $371k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Principal level role
  • Fully remote (US)
  • Python + TypeScript/Go
  • ML & Search expertise
  • Healthcare domain

You will own applied AI solutions that power patient-provider matching, clinical workflows, and engagement. The work involves developing advanced recommendation engines, applying NLP and generative AI, and setting technical standards for AI safety in a high-stakes environment.

This hands-on position requires designing product-facing AI architectures and core ML infrastructure. You will fine-tune models, unblock complex engineering problems, and guide the broader AI ecosystem to improve patient outcomes responsibly.

What you'll do

  • Drive search ranking, relevance, and patient-provider matching strategies
  • Develop and fine-tune models including LTR, embeddings, and LLMs
  • Design product-facing AI architectures and core ML infrastructure
  • Set technical standards for AI safety and clinical constraint handling
  • Act as a technical multiplier for engineers across product surfaces
  • Define technical strategy for the AI/ML infrastructure ecosystem

What you'll need

  • 10+ years software engineering with 7+ in distributed systems
  • 5+ years building and deploying production-grade ML applications
  • 5+ years optimizing search, ranking, or recommendation engines at scale
  • Strong Python skills plus TypeScript, Java, or Go experience
  • 2+ years building AI products using foundation models and RAG patterns
  • Experience with Elasticsearch/OpenSearch and vector databases like Pinecone
  • 3+ years in MLOps, data pipelines, and rigorous evaluation systems

Nice to have

  • Experience with HIPAA/GDPR compliant AI solutions
  • Familiarity with human-in-the-loop and clinical decision support
  • Background in evaluating human alignment and model interpretability
  • Contributions to open-source AI frameworks or healthcare research
  • Experience leading or mentoring AI/ML engineering teams

Stack

  • Python
  • TypeScript
  • Java
  • Go
  • Elasticsearch
  • OpenSearch
  • Pinecone
  • Weaviate
  • FAISS
  • Milvus
  • OpenAI
  • Anthropic
  • Gemini

How you'll work

  • Fully remote within the United States
  • Hawaii residents currently excluded
  • Flexible hours supporting work-life balance

What you get

  • Medical, dental, vision, life, and disability insurance
  • 401(k) plan access
  • Two company-wide shutdown weeks annually
  • Paid parental leave for all parents
  • Employee Assistance Program for mental health
  • $50 monthly internet or cell phone stipend
  • $50 monthly wellness stipend
  • New hire home office stipend
  • Quarterly department team-building budget