Hiring: Machine Learning Engineer Company: Clay Location: San Francisco, CA Job Posted Time: 2026-09-10 10:20:17 Target Skills & Keywords : Dagster, Data Lake, Fine-tuning, LLM, Machine Learning, Slack, Snowflake, User Experience, dbt About the job Experience: •5+ years in machine learning engineering or ML-heavy software engineering, with models and ML-powered features shipped to production Required Skills: •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. •Build eval systems and online monitoring so learning features are trustworthy and ensure they are actually positively impacting users’ experience of Clay. •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. Qualifications: •Strong engineering fundamentals: you write production-quality code and own systems •Pragmatic product sense — you optimize for the end user experience and business impact, and know when simple beats sophisticated •Comfort with ambiguity — much of this platform is being built from the ground up •A passion for the AI space: you stay up-to-date on the latest innovations and tools, and are excited to be at the frontier •Operational familiarity with modern data stack tools (Snowflake, dbt, Dagster) and data lake architectures Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!