Machine Learning Engineer

📋 Job Overview

Clay's ambition is to build a self-learning revenue engine: a product that gets smarter every time someone uses it. We're looking for a Machine Learning Engineer to join the Learning Team: a centralized group of MLEs and data scientists whose charter is building the intelligence engine that powers learning loops across every surface of the product.

🏢 About Clay

Our mission is to help organizations turn any growth idea into reality. We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage. We're already helping thousands of customers — including Anthropic, Notion, Google, and Ramp — go to market with unique data, signals, and AI research.

In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round — and crossed $100M in revenue. In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.

Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack. Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more. All employees can work for free with world-class coaches who specialize in creativity, management, and more. Our operating principles — including negative maintenance and non-attached action — guide our work.

🎯 The Role

Clay's ambition is to build a self-learning revenue engine: a product that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of everything we are building. We're looking for a Machine Learning Engineer to join the Learning Team: a centralized group of MLEs and data scientists whose charter is building the intelligence engine that powers learning loops across every surface of the product.

You'll ship intelligence features at the heart of the product: systems that learn a customer's business from their data and behavior, ranking and recommendation experiences, net new 0 to 1 AI products, and the ML platform that makes all of it possible.

✅ Key Responsibilities

• Build learning loops into the product
• Build the ML and data platform
• Make quality measurable
• Work across product teams

📌 Required Qualifications

• 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)
• Experience building data-intensive systems: pipelines, feature infrastructure, retrieval, serving
• 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

⭐ Desirable Experience

• 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

🎁 Benefits

Compensation: $170K – $300K • Offers Equity

🛂 Visa & Eligibility