Senior AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior AI Engineer (AI): Designing and operating LLM-backed workflows and evaluation pipelines for personalized health guidance with an accent on blending traditional ML with modern reasoning systems. Focus on productionizing AI capabilities that transform wearable data into actionable health insights.
Location: On-site in San Francisco, California
Salary: $147,900 – $203,000 (depending on region)
Company
empowers individuals to own their inner potential through award-winning wearable health products and AI-driven intelligence.
What you will do
- Design and build LLM-backed product capabilities for personalized insights and proactive notifications.
- Lead the design and implementation of evaluation frameworks to measure quality, safety, latency, and cost.
- Integrate AI components with personalization layers and structured user context to enable coherent multi-step programs.
- Prototype and productionize workflows across multiple LLM providers, including routing and shadow-mode experimentation.
- Build robust, observable, and cost-aware services while owning operational health and reducing technical debt.
- Partner cross-functionally with product, data science, research, and design teams to shape problem definitions.
Requirements
- 2+ years of experience in AI engineering with a background in backend engineering or applied ML.
- Strong proficiency in Python and comfort working with cloud-native services.
- Demonstrated ability to own systems end-to-end from data pipelines to deployment and monitoring.
- Track record of shipping product-facing features to real users.
- Must be based in the US (excluding AK, DE, IA, MS, MO, NE, SD, VT, WV, WI).
Nice to have
- Experience with LLM evaluation tooling (LLM-as-judge, red-teaming, rubric-based scoring).
- Familiarity with RAG, knowledge graphs, or semantic retrieval systems.
- Background in personalization, recommendation, or ranking systems.
- Exposure to digital health, wearables, or behavior change domains.
- Experience mentoring other engineers or shaping AI/ML best practices.
Culture & Benefits
- Competitive salary and equity packages.
- Comprehensive health, dental, and vision insurance, including mental health resources.
- Complimentary Ring and employee discounts for friends and family.
- Generous time off: 20 days PTO, 13 paid holidays, and 8 flexible wellness days.
- Paid sick leave and parental leave.
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