Lead software development for AI/ML products, focusing on model deployment, performance optimization, and generative AI within Google’s JAX Models and Performance team.
A Forward Deployed Engineer acting as an embedded builder bridging the gap between frontier data solutions and production-grade reality for customers, moving data and machine learning workloads from idea to production on Google Cloud.
Responsibilities
Build and ship production data and machine learning workloads with customers, writing, testing, and performance-tuning PySpark, SQL and Python on BigQuery, Managed Spark, Spanner and AlloyDB.
Present working proofs with customers’ data, including de-identifying sensitive data (e.g., PCI, PHI).
Build the data foundation for agentic solutions, including lakehouse architectures, metadata, semantic context, and the access controls that let custom agents act on trusted data.
Train, evaluate and deploy machine learning and agentic components where they improve the customer’s business metric, with evaluation and monitoring in place.
Refactor and migrate high-cost analytics, Spark and operational database workloads from other platforms onto Google Cloud engines, with measured price-performance results.
Principal Product Manager, Work Management, Work AIGoogle · San Francisco, US+2 more