Sr. Staff Engineer - Applied AI, Patient

Rula
Los Angeles, United States
Workplace: RemoteFull timeUSD 242,000 - 287,850 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Technical leadership","Mentoring","Experimentation rigor","Judgment","Cross-team collaboration"]

Build and scale AI/ML-powered patient experiences across matching, ranking, recommendations, onboarding, and personalization. In a hands-on technical leadership role, develop and improve production models and systems, create reusable ML infrastructure and capabilities, and partner closely with the ML team on shared standards and architectural decisions. Apply rigorous evaluation across offline and online experiments, and help decide when to use custom ML, foundation models/AI services, deterministic approaches, or hybrids.

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FursaFursa
Rula
Rula
23 hours ago

Sr. Staff Engineer - Applied AI, Patient

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build and scale AI/ML-powered patient experiences across matching, ranking, recommendations, onboarding, and personalization. In a hands-on technical leadership role, develop and improve production models and systems, create reusable ML infrastructure and capabilities, and partner closely with the ML team on shared standards and architectural decisions. Apply rigorous evaluation across offline and online experiments, and help decide when to use custom ML, foundation models/AI services, deterministic approaches, or hybrids.
Location: Los Angeles, United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and improve production ML models and AI-powered systems for patient experience capabilities.
  • •Build critical capabilities needed by Patient Engineering, including shared/reusable infrastructure and lifecycle tooling.
  • •Partner with the ML team on shared infrastructure, models, standards, and architectural decisions.
  • •Perform end-to-end ML lifecycle work: problem formulation, data/feature engineering, training, evaluation, experimentation, deployment, and monitoring.
  • •Use rigorous offline-to-online evaluation to drive better models, faster delivery, and higher-quality AI/ML experiences.

Pay and Benefits

Salary: USD 242,000 - 287,850 annually
Equity and Bonus:Equity
Perks:Remote WorkHealth InsuranceDentalVisionLife InsuranceDisabilityFsa/hsa401kPaid ParentalHome OfficeWellness Stipend

Key Requirements

  • •10+ years of software and/or ML engineering experience designing, building, deploying, and operating production ML systems with measurable impact, with strong Python and production-quality code skills.
  • •Deep hands-on ML expertise across the full lifecycle (problem formulation, data/feature engineering, training, evaluation, experimentation, deployment, monitoring, continuous improvement) and ability to set technical direction across teams.
  • •Demonstrated 0→1 experience building shared ML infrastructure or reusable capabilities adopted across teams (e.g., training/inference pipelines, model serving, evaluation, observability, lifecycle tooling).
  • •Deep experience with recommendation, ranking, relevance, personalization, search, or matching systems, including rigorous evaluation linking offline performance to online experiments and outcomes.
  • •Hands-on experience building and operating modern foundation model/GenAI systems in production, including evaluation of reliability, latency, cost, privacy/safety, and operational tradeoffs.
Experience:10+ yearsMachine learning
Skills:Technical leadershipMentoringExperimentation rigorJudgmentCross-team collaboration
Tech Stack:Python

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