[Hiring] Senior Staff Engineer - Applied AI @Rula

Role Description

We're hiring a Sr. Staff Engineer – Applied AI, Patient to help Patient Engineering build and scale AI/ML-powered patient experiences across areas such as:

• Matching
• Ranking
• Recommendations
• Onboarding
• Personalization

Rula is at an important stage in its ML journey. We already have ML models and pipelines powering product experiences, with additional capabilities under development. At the same time, much of the engineering foundation required to develop, deploy, evaluate, and operate ML consistently at scale is still ahead of us.

This is a deeply hands-on technical leadership role. You'll:

• Develop and improve production models and AI-powered systems.
• Build critical capabilities needed by Patient Engineering.
• Partner closely with Rula's ML team on shared infrastructure, models, standards, and architectural decisions.

You won't own a single model or product surface. You'll go where the highest-leverage Applied AI problems are—developing models, building reusable capabilities, improving existing systems, or determining whether a problem is best solved with:

• Custom ML
• Foundation model/AI service
• Deterministic software
• Hybrid approach

Success means enabling Patient Engineering to build better intelligent experiences while creating a strong technical partnership with Rula's ML team—resulting in better models, reusable capabilities, and faster, higher-quality delivery of AI/ML-powered patient experiences.

Qualifications

• 10+ years of software and/or ML engineering experience, including significant experience designing, building, deploying, and operating production ML systems with measurable product or business impact.
• Particularly Python, with experience building scalable systems and personally writing and reviewing production-quality code.
• Deep hands-on ML expertise and technical leadership across the ML lifecycle.
• 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.
• 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.

Requirements

• Experience helping an organization evolve from early-stage or ad hoc ML development toward mature ML engineering practices.
• 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 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 each year for self-care.
• Paid parental leave available for all parents.
• Employee Assistance Program (EAP) supporting mental and physical health.
• Quarterly department stipend for fun team-building activities or in-person gatherings.
• Community and employee resource groups fostering a sense of community and belonging.
• Home office stipend for new hires and $50 monthly stipend for internet or cell phone expenses.
• Wellness at Rula program with year-round wellness initiatives and a $50/month wellness stipend.

Company Description

We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.