…Exposure to data governance, semantic data modeling, or data classification concepts (e.g. knowledge graphs, metadata tagging). Familiarity with cloud data warehouses (Snowflake, BigQuery…

…Semantic Understanding Platform (SUP) is the standard platform for hosting image, text, video and data understanding signals at Google. SUP is a unified platform…

…fundamentals (context windows, prompt engineering, fine-tuning), common use cases (RAG, semantic search, conversational AI), security and compliance (data privacy, SOC2/ISO), and cost…

…You'll have senior and staff engineers alongside you to help with design. You'll own the implementation of scoped packages and ship improvements…

…OpenTelemetry SDKs and collectors, semantic conventions, span context propagation, high-cardinality trace data Concurrent and async programming: Python asyncio, Go concurrency, structured cancellation Data…

…lexical gap, semantic text understanding, and data sparsity. We’re building a team that indexes on moving fast, solving challenging product/engineering problems and…

…Essential 8+ years in ML engineering, including hands-on computer vision with camera and/or lidar sensor data, and a track record of shipping…

…Data modeling fundamentals — You understand bronze, silver, and gold data models conceptually and contribute to the gold layers and how they translate to semantic…

…Design extensible "context engineering" patterns—including advanced function calling and semantic layer integration—that can be leveraged by other Snowflake teams and external developers…

…We collect rare, real-world driving data at a scale and capital efficiency no one else can match. As a Staff Software Engineer , you…

…Staff Engineer - Observability As a Staff Engineer in the Observability domain, you will act as the technical North Star driving the long-term evolution…

…for architecture guidance, semantic layer decisions, and standards questions. You will also partner with a Staff Data Engineer on data engineering standards and pipeline…