Software Engineer, Data/ML

Skills & Qualifications

• Minimum qualifications:
• Shipped data and/or ML systems from prototype to production with strong reliability, scalability, and latency outcomes.
• Strong command of data modeling and managing schema evolution in event-driven/streaming environments.
• Deep experience with streaming and real-time processing (e.g., Flink, Spark), including correctness under late/out-of-order data.
• Built or operated real-time feature pipelines and/or feature stores for low-latency inference.
• Hands-on experience with modern data warehousing (e.g., Snowflake, BigQuery) and telemetry/event data standards.
• Able to translate product and business questions into durable datasets, metrics, and contracts.
• Preferred qualifications — we encourage you to apply if you meet some but not all of these:
• Production experience with Ray.
• Familiarity with MLOps tooling and practices (MLflow, Kubeflow, CI/CD for models, monitoring/drift).
• Experience with multi-agent systems or reinforcement learning at scale.
• Strong opinions and patterns for data contracts, observability, and testing for pipelines and serving systems.
• A link to relevant code, technical writing, or project work is strongly encouraged.

Logistics