Sr. Staff Engineer – Applied AI, Patient (AI)

Location: Remote, United States; must be based in the United States. Hiring is currently unavailable in Hawaii.

Salary: $242,000–$287,850 annual base salary, plus equity; no bonus.

Company

Mental healthcare company developing evidence-based, compassionate services and AI-powered patient experiences.

What you will do

• Build and scale AI/ML-powered patient experiences for matching, ranking, recommendations, onboarding, and personalization.
• Develop, improve, deploy, evaluate, and operate production ML models and AI-powered systems.
• Create reusable ML capabilities such as feature infrastructure, training and inference pipelines, model serving, evaluation, observability, and lifecycle tooling.
• Partner with the ML team on shared infrastructure, models, standards, and architectural decisions.
• Determine whether complex problems are best addressed with custom ML, foundation models or AI services, deterministic software, or hybrid approaches.
• Provide technical leadership across teams, influence architecture, mentor senior engineers, and improve delivery quality.

Requirements

• 10+ years of software and/or ML engineering experience, including production ML systems with measurable product or business impact.
• Strong Python skills and experience building scalable systems while writing and reviewing production-quality code.
• Hands-on expertise across problem formulation, data and feature engineering, model development and training, evaluation, experimentation, deployment, monitoring, and continuous improvement.
• Experience building shared ML infrastructure or reusable capabilities adopted across teams.
• Deep experience with recommendation, ranking, relevance, personalization, search, or matching systems, including rigorous offline and online evaluation.
• Production experience with foundation model and generative AI systems, including reliability, latency, cost, privacy, safety, and operational trade-offs.

Nice to have

• Experience evolving early-stage or ad hoc ML development toward mature ML engineering practices.
• Experience operating ML systems in healthcare, financial services, or another regulated or high-trust environment.

Culture & Benefits

• 100% remote work for employees based in the United States, with working hours designed to support work-life balance.
• Medical, dental, vision, life, disability, and FSA/HSA benefits.
• 401(k) plan access, generous time off, and two company-wide shutdown weeks each year for most employees.
• Paid parental leave for birthing, non-birthing, adopting, and fostering parents.
• Employee Assistance Program, quarterly department stipend, employee resource groups, and community initiatives.
• Home office stipend, $50 monthly internet or phone stipend, and $50 monthly wellness stipend.