Senior AI Scientist

Role overview

Join as a Senior AI Scientist to design, deploy, and scale production-grade AI systems for consumer-facing personalized health experiences. This is a high-autonomy, end-to-end role spanning applied AI research, machine learning in production, and backend engineering.

Responsibilities

• Lead the design, development, and deployment of production AI/ML systems powering consumer health experiences.
• Build and maintain backend services, APIs, and infrastructure for LLM and agentic AI pipelines at scale.
• Create evaluation frameworks for LLM reliability, grounding, safety, and performance in production.
• Develop agentic AI systems and iteratively improve them via experimentation, monitoring, and optimization.
• Own projects end-to-end: from problem definition and research through deployment, observability, and continuous improvement.
• Collaborate with Product and Engineering teams to translate user needs and data insights into shipped features.
• Improve model performance using fine-tuning, distillation, quantization, and prompt/system optimization.
• Identify new AI opportunities to enhance personalization, health insights, and engagement.

Requirements

• 5+ years building and shipping production AI/ML systems used by external users.
• Strong backend engineering skills (APIs, pipelines, logging, monitoring, production infrastructure).
• Proven experience deploying and evaluating LLM-based or agentic AI systems in real-world environments.
• Advanced proficiency in Python and modern ML/AI frameworks.
• Demonstrated ability to own end-to-end delivery in ambiguous, fast-paced settings with high autonomy.
• Strong systems thinking, balancing research exploration with production reliability.
• Excellent communication skills to explain complex AI concepts to non-technical stakeholders and leadership.
• Experience with cloud (e.g., AWS) and modern MLOps practices.

Nice to have

• Experience with fine-tuning, knowledge distillation, quantization, or agentic workflows.
• Background in consumer health, wellness, or personalization AI products.

Location / work style

• Remote within the United States.