Senior Staff Engineer (Applied AI, Patient)

Join Rula, a company at the forefront of AI and machine learning in healthcare. As a Senior Staff Engineer, you will play a crucial role in building and scaling AI-powered patient experiences. This hands-on technical leadership position will involve developing and improving production models, building critical capabilities, and partnering closely with Rula's ML team. You will have the opportunity to work remotely from anywhere in the US and enjoy a range of benefits, including paid parental leave, medical, dental, and vision insurance, and a 401(k) retirement plan.

About Rula

Contribuer à la construction et à l'évolutivité des expériences patient alimentées par l'IA/ML dans des domaines tels que l'appariement, le classement, les recommandations, l'intégration et la personnalisation.

Responsibilities

• Développer et améliorer les modèles de production et les systèmes alimentés par l'IA, construire des capacités critiques nécessaires à l'ingénierie des patients.
• Collaborer étroitement avec l'équipe ML de Rula sur l'infrastructure partagée, les modèles, les normes et les décisions architecturales.
• Strong evaluation and experimentation rigor connecting offline model performance to online experiments and product/business outcomes
• 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
• Hands-on experience building and operating modern foundation model/GenAI systems in production, including evaluation, reliability, latency, cost, privacy/safety, and operational tradeoffs
• 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

Requirements

• 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 experience with recommendation, ranking, relevance, personalization, search, or matching systems, including rigorous evaluation connecting offline model performance to online experiments and product/business outcomes

Preferred

• 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

Pay

USD 242,000 - 287,850