Staff AI Scientist

This is a fully remote position, open to applicants in Alaska, +8 more states.

📋 Description

• Take ownership of the complete development process for essential intelligent capabilities, starting from scientific signals to product integration, launch, and iterative improvements.

• Identify advancements in personalization technology strategy while influencing the roadmap and technical direction across partner teams.

• Create measurement frameworks, conduct lightweight offline evaluations, and establish shadow-mode testing infrastructure to facilitate rapid iteration.

• Assist in the development of causal and counterfactual models, as well as design experiments that measure real impacts on behavior and health.

• Guide scientists and engineers while cultivating team norms focused on experimentation and evaluation.

• Collaborate effectively with engineering, science, product, and design within the Health Intelligence team.

• Articulate trade-offs, uncertainties, and modeling assumptions to both technical and non-technical stakeholders across the US and EU.

⛳️ Requirements

• A minimum of 8 years of experience in applied AI, AI research, and backend engineering.

• A graduate degree (MS or PhD) in a relevant quantitative discipline is highly preferred.

• Extensive experience with AI/LLM-backed products, evaluation workflows, and production experimentation frameworks.

• Profound knowledge of backend engineering best practices and systems catering to millions of users.

• Practical experience in designing retrieval, ranking, and recommendation systems.

• Familiarity with model serving, pipeline architecture, and deployment infrastructure.

• Experience in integrating recommendation or retrieval signals with LLM-powered generation.

• Proficiency in designing lightweight experiments and evaluations, including shadow testing and staged rollouts.

• Background in framing personalization challenges, modeling user trajectories, and working with stateful or sequential data.

• Exposure to causal methodologies and experiment design.

• Demonstrable experience influencing technical direction, mentoring others, shaping team practices, or leading cross-functional scientific initiatives.

• Capability to explain complex systems, trade-offs, and uncertainties to both technical and non-technical audiences.

• Strong proficiency in Python, encompassing data analysis and modeling, along with experience in modern data tooling.

🏝️ Benefits

• Competitive salary and equity packages.

• Comprehensive health, dental, vision insurance, and mental health resources.

• An Oura Ring for yourself, plus employee discounts for friends and family.

• 20 days of paid time off, 13 paid holidays, and 8 days of flexible wellness time off.

• Paid sick leave and parental leave.