WHOOP
Technology
SeniorMachineLearningEngineer,AIPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer, AI Platform at WHOOP. Skills: Machine Learning, AI Platform, Large language models. Design production AI systems. Build production AI systems”
Industry & Context.
Make engineering tradeoffs
What They're Looking For.
Must Have
3+ years applied ML, Hands-on LLM experience, Solid ML fundamentals, Proficiency in data manipulation, Familiarity with secure AI
Nice to Have
PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified
What You'll Do.
Design production AI systems
Build production AI systems
Operate production AI systems
Lead AI system initiatives
Operationalize fine-tuning workflows
Operationalize evaluation workflows
Develop experimentation tooling
Develop evaluation frameworks
Develop model deployment tooling
Mentor other engineers
Share AI/ML best practices
How You'll Work.
Team & Collaboration
Partner with product; Partner with data science; Cross-functional teams
Communication Scope
Influence across teams; Drive alignment
Process & Methodology
Problem definition, Dataset design, Lifecycle management
Full Job Description
At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer by using AI to transform continuous physiological data into clear insights and actionable recommendations. Our AI platform is central to this mission, turning raw physiological signals into trusted, personalized guidance that members can act on every day. WHOOP is hiring a Senior AI/ML Engineer to help scale the intelligence layer behind WHOOP’s AI-powered experiences, including WHOOP Coach, AI-powered Support, and new intelligent features across the product. In this role, you will own core components of the AI Platform that power our internal AI Studio https://engineering.prod.whoop.com/ai-studio/: evaluation pipelines, fine-tuning workflows, LLM observability, and experimentation tooling. You will partner closely with product and data science to translate real member needs into reliable, impactful AI systems that improve continuously based on real-world usage. RESPONSIBILITIES: - - Design, build, and operate production AI systems and scaffolding around language models that power conversational, predictive, and generative capabilities across WHOOP products. - Lead end-to-end AI system initiatives spanning problem definition, data flows, dataset design, evaluation harnesses, deployment, and iteration in close partnership with data science and product. - Build and maintain pipelines for collecting, curating, and reshaping messy, multi-source data into high-quality, well-structured training and evaluation datasets for language model–based systems. - Operationalize fine-tuning and evaluation workflows for large language models behind member-facing features such as WHOOP Coach and AI Support, including defining datasets, labels, and taxonomies that reflect real member needs. - Develop tooling and frameworks that make experimentation, offline/online evaluation, and model deployment faster, safer, and more repeatable, including rob
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