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About the Role
Clay's ambition is to build a self-learning revenue engine, a product that gets smarter with every use. Data, ML, and AI are central to our development. We are seeking a Machine Learning Engineer to join the Learning Team, responsible for building the intelligence engine that powers learning loops across the product. You will ship intelligence features, including systems that learn from customer data, ranking and recommendation experiences, new AI products, and the supporting ML platform.
Responsibilities
- Build learning loops into the product, designing and shipping systems that enable Clay to learn and improve using user behavior and business data.
- Develop net-new recommendation-first experiences, from prototype to production.
- Build the ML and data platform, including data lake foundations and serving infrastructure.
- Evaluate new tools to accelerate the product vision and collaborate with data science and data platform teams.
- Create evaluation systems and online monitoring to ensure learning features are trustworthy and positively impact user experience.
- Partner with product teams to enhance their surfaces with intelligence.
Requirements
- 5+ years in machine learning engineering or ML-heavy software engineering, with production-shipped models and ML-powered features.
- Strong engineering fundamentals with the ability to 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, including pipelines, feature infrastructure, retrieval, and serving.
- Pragmatic product sense, optimizing for end-user experience and business impact.
- Comfort with ambiguity in a platform-building environment.
- Passion for the AI space, staying current with innovations and tools.
Skills
- Machine Learning Engineering
- ML-heavy Software Engineering
- Production-quality code
- System ownership
- LLMs in production
- Prompting
- Evals
- Guardrails
- Fine-tuning
- Classical ML
- Ranking
- Recommendations
- Propensity models
- Data-intensive systems
- Pipelines
- Feature infrastructure
- Retrieval
- Serving
- Recommendation systems
- Search ranking
- Personalization
- Eval frameworks for LLM or ML systems
- Modern data stack tools
- Snowflake
- dbt
- Dagster
- Data lake architectures
Location
- Remote
Work Type
- Full-time
Experience Level
- 5+ years
Benefits
- Work with world-class coaches specializing in creativity, management, and more.
About the Company
- Clay's mission is to help organizations turn any growth idea into reality, viewing growth as a creative practice.
- We help thousands of customers, including Anthropic, Notion, Google, and Ramp, with unique data, signals, and AI research.
- Raised a $100M Series C in 2025, backed by Sequoia, CapitalG, and First Round, crossing $100M in revenue.
- Announced a second employee tender offer in 2026 at a $5B valuation and launched a community equity round.
- Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
- Our culture is unique, with team members pursuing diverse interests outside of work.
- Our operating principles include negative maintenance and non-attached action.
- Featured in the NYT, Forbes, and First Round Review.
- Employee testimonials available on our Glassdoor page.