Software Engineer, Data/ML

Job Description

Build and manage high-throughput batch and streaming pipelines for analytics and product signals. Architect production-grade ML systems, including real-time feature serving and model infrastructure to ensure low-latency inference.

Requirements: Requires proven experience shipping scalable data and ML systems from prototype to production. Deep expertise in streaming processing, data warehousing, and managing schema evolution in event-driven environments is essential.

Key Skills: Data Modeling, MLOps, Streaming Pipelines, Feature Stores, Model Serving, Schema Evolution, Flink, Spark, Snowflake, BigQuery, Ray, MLflow, Kubeflow, Reinforcement Learning, Multi-agent Systems, Telemetry

Benefits: Health Insurance, Dental Insurance, Vision Insurance, Equity