Understand ML engineers' needs and current capabilities.
Mentor junior engineers to build high-quality software.
Raise standards for high-availability and low-latency ML inference infrastructure.
Optimize low-latency streaming pipelines for fresh ML data.
Promote best practices for distributed training on large datasets.
Build tooling to observe data quality and detect degradations.

🎯 Requirements

5+ years as a Software Engineer.
Strong understanding of distributed systems.
Lead by example with high-quality code and strong communication.
Strong design sense; clarify complex technical requirements.
Treat engineers as customers; deliver a seamless experience.
Mastery of fundamentals; adapt across varied technologies.

🎁 Benefits

Experience building ML models and systems.
Experience on a platform team and building developer tooling.
Experience with Python, Golang, Ray, Spark, Airflow, Databricks, Snowflake, DynamoDB.

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