Machine Learning Engineer, Core Experimentation
Core
Lead technical direction for ML-powered experimentation and insights capabilities, building production systems that learn from product data to generate evidence-backed insights and support high-stakes product decisions.
Role type
Senior IC machine learning engineer (experimentation platform)
Builds
Generative Insights and Predictive Experimentation platform, cross-experiment learning systems, predictive models, simulation workflows, and durable product/API/agent workflows.
Domain
AI/ML, Experimentation, Causal Inference, LLMs, Statistical Methods
Deliverable
production ML models | product features
Required skills
ML lifecycle ownership, LLM and retrieval systems, causal ML or experiment analysis, simulation-based evaluation, Python software engineering, statistical reasoning, data pipeline design, technical leadership
Preferred skills
Ambiguous 0-to-1 product experience, hands-on ML deployment and monitoring, translating partner questions into roadmaps, building for internal power users
Technologies
Python, LLM systems, retrieval systems, simulation workflows
Responsibilities
Set and execute technical roadmap for Generative Insights and Predictive Experimentation; Build cross-experiment learning systems to retrieve and synthesize historical experiments; Develop predictive models and simulation workflows to estimate impact and uncertainty; Create high-quality datasets and feature/retrieval pipelines with strong lineage and privacy controls; Establish rigorous evaluation through offline benchmarks, backtests, and drift monitoring; Turn models into durable product, API, and agent workflows; Partner with data science and product teams on experiment design and causal inference; Provide technical leadership across engineering, product, data science, and research partners.
Seniority
Senior, hands-on IC with technical leadership
