Senior Staff Engineer – Applied AI

🕒 September 22

🇺🇸 United States – Remote

💵 $242k - $287.9k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 1%

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Rula

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2019

💼 Consulting

🛡️ Insurance

🏥 Healthcare

💰 Series C - Rula on 2024-07

Consulting • Insurance • Healthcare

Rula is a mental health care platform that connects patients with licensed therapists and psychiatric providers across the United States, offering online and in-person therapy, psychiatry, and medication management. The platform works with over 120 insurance plans nationwide (including Medicare, Medicaid, and many major commercial carriers), verifies coverage, provides cost estimates, and offers in-network pricing (average $15 per session with insurance) and cash rates for self-pay. Rula supports 90+ conditions (anxiety, depression, PTSD, ADHD, OCD, bipolar disorder, etc. ), provides tools for scheduling and managing appointments, and offers resources like tests/quizzes and a provider directory spanning all 50 states. It serves patients directly and partners with employers, health plans, and health systems, and emphasizes clinical standards, provider reviews, and ongoing professional development.

📋 Description

• Build and scale AI/ML-powered patient experiences for matching, ranking, recommendations, onboarding, and personalization • Develop and improve production models and AI-powered systems • Build critical reusable capabilities for Patient Engineering • Partner with Rula’s ML team on shared infrastructure, models, standards, and architectural decisions • Identify and solve high-leverage Applied AI problems across models, reusable capabilities, and existing systems • Determine whether problems are best addressed with custom ML, foundation models/AI services, deterministic software, or hybrid approaches • Enable Patient Engineering to deliver better intelligent experiences • Create a strong technical partnership with the ML team • Improve models, reusable capabilities, and the speed and quality of AI/ML-powered patient experience delivery

🎯 Requirements

• 10+ years of software and/or ML engineering experience • Significant experience designing, building, deploying, and operating production ML systems with measurable product or business impact • Strong Python experience • Experience building scalable systems and writing and reviewing production-quality code • Deep hands-on ML expertise across problem formulation, data/feature engineering, model development and training, evaluation, experimentation, deployment, monitoring, and continuous improvement • Technical leadership across teams, including setting technical direction, influencing architecture, mentoring senior engineers, and exercising judgment on ML and AI approaches • Demonstrated 0→1 experience building shared ML infrastructure or reusable capabilities adopted across teams • Deep experience with recommendation, ranking, relevance, personalization, search, or matching systems • Rigorous evaluation connecting offline model performance to online experiments and product/business outcomes • Hands-on experience building and operating modern foundation model/GenAI systems in production • Experience with evaluation, reliability, latency, cost, privacy/safety, and operational tradeoffs for GenAI systems • Preferred: experience evolving organizations toward mature ML engineering practices • Preferred: experience operating ML systems in healthcare, financial services, or another regulated/high-trust environment

🏖️ Benefits

• 100% remote work environment • Working hours to support a healthy work-life balance • Attractive pay and benefits with transparent U.S. pay ranges • Medical, dental, vision, life, disability, and FSA/HSA benefits • 401(k) plan access • Generous time-off policies, including 2 company-wide shutdown weeks each year for most employees • Paid parental leave for birthing, non-birthing, adopting, and fostering parents • Employee Assistance Program (EAP) • Quarterly department stipend for team-building activities or in-person gatherings • Community and employee resource groups • New hire home office stipend • $50 monthly internet or cell phone stipend • Year-round wellness initiatives • $50/month wellness stipend • Equity

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