Clay Labs Machine Learning Engineer at Clay Labs building learning loops and intelligence features that power the product. The role includes designing recommendation systems and building ML and data platform infrastructure.
Responsibilities
Build learning loops into the product
Design and ship systems that allow Clay to learn and improve using user behavior and important business data. Build net-new recommendation-first experiences, from prototype through production.
Build the ML and data platform
Help stand up the infrastructure that underpins learning including data lake foundations and serving infrastructure. Evaluate new tools for their ability to accelerate our product vision. Collaborate with our data science and data platform teams to ensure we’re all using a common data language.
Make quality measurable
Build eval systems and online monitoring so learning features are trustworthy and ensure they are actually positively impacting users’ experience of Clay.
Work across product teams
The Learning Team maintains one shared roadmap serving all product teams; you'll partner with almost every product team at Clay to make their surfaces smarter.
What You'll Bring
5+ years in machine learning engineering or ML-heavy software engineering, with models and ML-powered features shipped to production
Strong engineering fundamentals: you write production-quality code and own systems
Experience with LLMs in production (prompting, evals, guardrails, fine-tuning) and/or classical ML (ranking, recommendations, propensity models)
Qualification
This is a rare greenfield
Preferred
Experience building recommendation systems, search ranking, or personalization
Experience designing eval frameworks for LLM or ML systems
Familiarity with modern data stack tools (Snowflake, dbt, Dagster) and data lake architectures
Experience in fast-moving startup environments
This is a rare greenfield: the Learning Team is new, its charter comes straight from company leadership, and learning loops are central to Clay's product vision. You'll define the architecture, set the standards, collaborate on the product vision, and ship the features that make Clay feel like it truly knows every customer. We value ownership, clear thinking, and work that has real impact.
