2 months ago
Base Salary
$170k - $300k/yr
Responsibilities
- Design and ship learning loops that use user behavior and business data to improve Clay’s product.
- Build recommendation-first experiences from prototype through production.
- Develop the ML and data platform, including data lake foundations and serving infrastructure.
- Evaluate tools that can accelerate Clay’s product vision and collaborate with data science and data platform teams on shared data practices.
- Build evaluation systems and online monitoring to measure the quality and user impact of learning features.
- Partner with nearly every product team through the Learning Team’s shared roadmap.
Requirements
- 5+ years of experience in machine learning engineering or ML-heavy software engineering.
- Experience shipping models and ML-powered features to production.
- Strong software engineering fundamentals and experience owning production systems.
- Production experience with LLMs, including prompting, evaluations, guardrails, or fine-tuning, and/or classical ML such as ranking, recommendations, or propensity models.
- Experience building data-intensive systems, including pipelines, feature infrastructure, retrieval, or serving.
- Pragmatic product sense focused on user experience and business impact.
- Experience building recommendation systems, search ranking, or personalization is preferred.
- Experience designing evaluation frameworks for LLM or ML systems is preferred.
- Familiarity with Snowflake, dbt, Dagster, and data lake architectures is preferred.
- Experience in fast-moving startup environments is preferred.
Benefits
- Employees can work for free with world-class coaches specializing in creativity, management, and more.
Tech Stack
dbtSnowflake
Categories
About Clay Labs
Clay Labs builds a go-to-market data and automation platform that lets revenue teams discover prospects, enrich records from many providers, and personalize multichannel outreach. Delivered as a SaaS product with APIs and a data marketplace, it serves sales, marketing, and growth teams at startups and enterprises. The privately held company is headquartered in New York and is backed by investors including Sequoia Capital and CapitalG.