Senior Staff Engineer, Applied AI - Patient Care (Remote)

Aimlroles

Northern (KY)

Hybrid

USD 180,000 - 250,000

Full time

14 days+
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Benefits offered by this job

Remote work
Health benefits
401(k)
Wellness stipend
Parental leave

Job summary

Rula is hiring a Sr. Staff Engineer – Applied AI, Patient to help Patient Engineering build and scale AI/ML-powered patient experiences across matching, ranking, recommendations, onboarding, and personalization.

This is a deeply hands‑on technical leadership role focused on producing scalable ML systems and reusable capabilities. We are remote-first, hire in most US states (excluding Hawaii), and offer transparent pay ranges, comprehensive health benefits, a 401(k), parental leave, and a strong

Qualifications

  • 10+ years of software and/or ML engineering experience with production ML systems.
  • Deep ML lifecycle expertise and technical leadership across teams.
  • Experience building shared ML infrastructure and reusable capabilities.
  • Experience with recommendation, ranking, personalization, or matching systems.
  • Hands-on experience with modern foundation model/GenAI systems in production.

Responsibilities

  • Develop and improve production ML models and AI-powered systems.
  • Build reusable capabilities and partner with the ML team on shared infrastructure.
  • Guide architectural decisions and mentor senior engineers across teams.
  • Determine problem-solving approaches (custom ML, foundation models, or hybrids).
  • Enable faster, higher‑quality delivery of AI/ML-powered patient experiences.

Skills

Python
ML engineering
Production ML systems
Recommender systems
Problem formulation
Team leadership

Tools

TensorFlow
PyTorch
Model serving
Monitoring tooling

Job description

Rula is hiring a Sr. Staff Engineer – Applied AI, Patient to help Patient Engineering build and scale AI/ML-powered patient experiences across matching, ranking, recommendations, onboarding, and personalization.

This is a deeply hands‑on technical leadership role focused on producing scalable ML systems and reusable capabilities. We are remote-first, hire in most US states (excluding Hawaii), and offer transparent pay ranges, comprehensive health benefits, a 401(k), parental leave, and a strong

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