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We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.
We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.
We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.
Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.
About the Role
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, and 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, and 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, a foundation model/AI service, deterministic software, or a 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.
Required 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 experience with problem formulation, data/feature engineering, model development and training, evaluation, experimentation, deployment, monitoring, and continuous improvement, while setting technical direction across teams, influencing architecture, mentoring senior engineers, and exercising strong judgment about when to use custom ML, foundation models/AI services, deterministic approaches, or hybrids.
Demonstrated 0→1 experience building shared ML infrastructure or reusable capabilities adopted across teams, such as feature infrastructure, training/inference pipelines, model serving, evaluation, observability, or lifecycle tooling.
Deep experience with recommendation, ranking, relevance, personalization, search, or matching systems, including rigorous evaluation connecting offline model performance to online experiments and product/business outcomes.
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, including evaluation, reliability, latency, cost, privacy/safety, and operational tradeoffs.
Preferred Qualifications
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.
We're serious about your well-being! As part of our team, full-time employees receive:
100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)
Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States
Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
401(k) plan access: Start saving for your future
Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)
Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering
Employee Assistance Program (EAP): Supporting your mental and physical health
Quarterly department stipend: Fun team-building activities or in-person gatherings
Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all
Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses
Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend
Our team
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.
Skills Required
- 10+ years of software and/or machine learning engineering experience
- Significant experience designing, building, deploying, and operating production ML systems with measurable product or business impact
- Strong Python experience and ability to write and review production-quality code
- Deep hands-on expertise across the ML lifecycle, including problem formulation, data and feature engineering, model development, training, evaluation, experimentation, deployment, monitoring, and continuous improvement
- Technical leadership experience setting direction across teams, influencing architecture, mentoring senior engineers, and selecting appropriate AI or software approaches
- 0-to-1 experience building shared ML infrastructure or reusable capabilities adopted across teams
- Deep experience with recommendation, ranking, relevance, personalization, search, or matching systems
- Experience connecting offline model performance to online experiments and product or business outcomes
- Hands-on experience building and operating foundation model or generative AI systems in production
- Experience evaluating reliability, latency, cost, privacy, safety, and operational tradeoffs in AI systems
- Experience helping an organization mature from ad hoc ML development to established ML engineering practices
- Experience operating ML systems in healthcare, financial services, or another regulated or high-trust environment
What the Team is Saying
Rula Compensation & Benefits Highlights
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Healthcare Strength — Benefits for W‑2 employees include medical, dental, and vision insurance, mental health support via EAP, and options such as HSA/FSA, life, and disability coverage. Feedback suggests this breadth is strong for a remote‑first healthtech employer.
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Leave & Time Off Breadth — Time‑off policies highlight flexible PTO alongside two company‑wide shutdown weeks each year for self‑care. Feedback suggests these practices support sustained work‑life balance.
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Parental & Family Support — Paid parental leave is available for birthing, non‑birthing, adoptive, and foster parents. Feedback suggests the scope of leave is a notable advantage for eligible employees.
Rula Insights
What We Do
At Rula, our mission is to create a world where every person can access high-quality mental health care. We’re building the future of behavioral health by making it easier for people to connect with licensed professionals at a time and cost that works for them. Our approach is evidence-based, outcome-driven and compassionate, with a focus on treating the whole person. By empowering our exceptional provider network to track progress throughout the care journey, we’re helping more people get the support they need to thrive.
Why Work With Us
As a remote company, we're intentional about the culture we're building. We write things down, we communicate clearly, we follow-up, and we follow-through. We have high expectations for our team, and empower individuals with a high degree of trust and autonomy. In turn, we expect that individuals operate with a sense of ownership in everything.
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Rula Offices
Remote Workspace
Employees work remotely.
We do not have any offices and are a 100% remote company, with select Sales roles that have local travel requirements.
