We’re looking for an experienced Lead Data & ML Engineer to build scalable, cost-efficient systems that transform messy ad data into reliable intelligence. You’ll lead work on data pipelines, ad connectors, and AI-driven infrastructure, collaborating closely with top engineers and product partners in a high-ownership, high-velocity environment.

What you'll be doing

Design, build, and maintain scalable data and AI and data pipelines using Snowflake, Temporal and Python.
Design fault-tolerant, distributed systems capable of processing terabytes of data.
Build ad connectors from scratch to unify creative and performance data.
Develop real-time data synchronization and streaming solutions.
Ensure data reliability, integrity, and cost efficiency across environments.
Collaborate with other engineering and product teams to integrate data solutions.
Establish and maintain strong data governance and quality standards.
Establish and maintain strong data governance and quality standards.
Identify automation opportunities to improve delivery speed and accuracy.

What You'll Need to Succeed

Strong experience in Python and production-grade data systems.
Proven expertise with Temporal or similar orchestration frameworks.
Experience integrating AI systems with APIs and production workflows.
Understanding of LLM evaluation (benchmarks, metrics, human-in-the-loop methods).Ability to design experiments, analyze outcomes, and iterate fast.
Familiarity with emerging AI and data trends, and how to apply them to real products.
Comfort working in a fast-moving, collaborative, global team.
Bias for action, curiosity, and drive to build systems that scale.

Lead Data/ML Engineer

Anywhere in the world

Remote

Senior

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