Senior Staff AI Engineer, Patient Experience - Remote

Path; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

100% remote work

Transparent pay ranges

Health benefits

401(k) plan

Generous time-off

Parental leave

Employee Assistance Program

Home office stipend

Wellness stipend

Job summary

Rula is seeking 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.

Rula is at an important stage in its ML journey, with production models and pipelines; you will lead hands‑on technical work, develop models, and collaborate with the ML team on infrastructure, models, and architectural choices to enable high‑quality, scalable AI delivery.

Qualifications

• 10+ years of software and/or ML engineering experience.
• Proven ability to design, build, deploy, and operate production ML systems with measurable impact.
• Deep hands-on ML expertise across the lifecycle: data/feature engineering, training, evaluation, deployment, monitoring.
• Experience building shared ML infrastructure or reusable capabilities used across teams.
• Strong background in recommendation/ranking/personalization/matching systems with evaluation tied to online outcomes.
• Experience deploying foundation model/GenAI systems in production with attention to latency, cost, privacy and safety.

Responsibilities

• Develop and improve production ML models and AI-powered patient experiences.
• Build reusable ML infrastructure and tooling for Patient Engineering.
• Partner with the ML team on shared infrastructure, standards, and architectural decisions.
• Evaluate and iterate models using online experiments and business metrics.
• Provide technical leadership across teams and mentor engineers.

Skills

Python

ML engineering

System design

Leadership

Experimentation

Job description

Rula is seeking 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.

Rula is at an important stage in its ML journey, with production models and pipelines; you will lead hands‑on technical work, develop models, and collaborate with the ML team on infrastructure, models, and architectural choices to enable high‑quality, scalable AI delivery.