2 дня назад
Staff AI Scientist (LLM)
199 000 - 228 850$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff AI Scientist (LLM) (Health Intelligence): Building and deploying production AI systems that combine classical machine learning, retrieval, recommendation systems, backend APIs, and LLM-powered generation with an accent on personalization, evaluation, and health outcomes. Focus on designing causal and counterfactual experiments, building rapid offline and shadow-mode evaluation infrastructure, and mentoring scientists and engineers across product, engineering, science, and design.
Location: Remote - United States. Candidates residing in Alaska, Delaware, Iowa, Mississippi, Missouri, Nebraska, South Dakota, West Virginia, or Wisconsin are not being considered.
Salary: $199,000–$228,850 for Region 3, $212,000–$243,800 for Region 2, or $233,000–$267,950 for Region 1, depending on U.S. location and qualifications.
Company
develops Oura Ring and connected-app products that help people understand and improve readiness, activity, sleep, and overall health.
What you will do
- Own the research, development, evaluation, deployment, and iteration of reusable Health Intelligence systems from scientific signals through product integration.
- Define personalization strategy for representing users and delivering relevant content across product surfaces.
- Build lightweight offline evaluation, shadow-mode testing, rubrics, and reusable tooling for rapid iteration.
- Design and analyze causal, counterfactual, and behavioral experiments that measure genuine health and outcome impact.
- Integrate retrieval, ranking, recommendation signals, backend APIs, and LLM-powered generation into production systems.
- Mentor scientists and engineers while communicating technical trade-offs, uncertainty, and modeling assumptions across functions.
Requirements
- 8+ years of experience in applied AI, AI research, and backend engineering; an MS or PhD in computer science, statistics, or a related quantitative field is strongly preferred.
- Deep experience shipping AI- and LLM-backed products, including LLM-as-judge, rubric-based evaluation, safety testing, red-teaming, and offline versus online assessment.
- Strong backend engineering experience building systems that serve millions of users, with hands-on experience in model serving, pipeline architecture, and deployment infrastructure.
- Experience designing retrieval, ranking, recommendation, personalization, and sequential or stateful user-trajectory systems for production.
- Experience integrating recommendation or retrieval signals with LLM generation, including grounding, constrained decoding, prompt design, or generation evaluation.
- Strong Python proficiency, causal methods and experiment design experience, technical leadership or mentoring experience, and the ability to explain complex systems and uncertainty clearly.
Nice to have
- Personalization experience focused on consumer behavior change or health outcomes.
- Familiarity with health, wearables, or digital therapeutics.
- Comfort working outside core hours with distributed teams across time zones.
Culture & Benefits
- Competitive salary and equity packages.
- Health, dental, vision, and mental health resources.
- Oura Ring provided, with 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.
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