Sr. Staff Engineer - Applied AI, Patient (Remote)
$242k - $303k • Remote • Remote - United States • Full-time
Posted 1mo ago
Remote Work Policy
Fully remote
Employment Type
Full-time
Categories
AI Engineer
About the job
We are seeking a Sr. Staff Engineer – Applied AI, Patient to join our Patient Engineering team. In this role, you will be instrumental in building and scaling AI/ML-powered patient experiences across various domains, including matching, ranking, recommendations, onboarding, and personalization. This is a hands-on technical leadership position where you will develop and enhance production models and AI systems, create essential capabilities for Patient Engineering, and collaborate closely with Rula's ML team on shared infrastructure, models, standards, and architectural decisions. You will tackle high-leverage Applied AI challenges, whether that involves developing models, building reusable components, improving existing systems, or determining the most effective solution approach, which may include custom ML, foundation models, AI services, deterministic software, or a combination thereof. Your success will be measured by your ability to empower Patient Engineering to create superior intelligent experiences and foster a strong technical partnership with the ML team, leading to improved models, reusable capabilities, and accelerated, high-quality delivery of AI/ML-powered patient experiences.
Responsibilities
- Develop and improve production models and AI-powered systems.
- Build critical capabilities needed by Patient Engineering.
- Partner with Rula's ML team on shared infrastructure, models, standards, and architectural decisions.
- Determine the best approach for solving problems, whether custom ML, foundation models/AI services, deterministic software, or a hybrid.
- Enable Patient Engineering to build better intelligent experiences.
- Create reusable capabilities and improve existing systems.
Requirements
- 10+ years of software and/or ML engineering experience.
- Significant experience designing, building, deploying, and operating production ML systems with measurable impact.
- Proficiency in Python, with experience building scalable systems and writing production-quality code.
- Deep hands-on ML expertise and technical leadership across the ML lifecycle.
- Demonstrated experience setting technical direction, influencing architecture, and mentoring senior engineers.
- Experience building shared ML infrastructure or reusable capabilities adopted across teams.
- Deep experience with recommendation, ranking, relevance, personalization, search, or matching systems.
- Strong evaluation and experimentation rigor connecting offline model performance to online experiments and product/business outcomes.
- Hands-on experience building and operating modern foundation model/GenAI systems in production, considering evaluation, reliability, latency, cost, privacy/safety, and operational tradeoffs.
- Experience helping organizations evolve toward mature ML engineering practices.
- Experience operating ML systems in healthcare, financial services, or another regulated/high-trust environment.
Benefits
- 100% remote work environment
- Attractive pay and benefits with full transparency of pay ranges
- Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
- 401(k) plan access
- Generous time-off policies, including 2 company-wide shutdown weeks annually
- Paid parental leave
- Employee Assistance Program (EAP)
- Quarterly department stipend for team-building or gatherings
- Community and employee resource groups
- New hire home office stipend
- $50 monthly stipend for internet or cell phone expenses
- $50/month wellness stipend