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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Staff Engineer - Data Semantics”. A match may be a passing mention rather than the job itself. Titles only.
31 roles across 34 listings · show every listing · page 1 of 2
…Some of our data begins in conventional software systems. Some begins on CNC machines, inspection equipment, PLCs, engineering files, and the factory floor. As…
…We don’t care a whole lot about swim lanes and we work closely with our partners in Product, Engineering, Data, and Marketing to…
…HNSW, IVF, product quantization), inverted indices, and engines such as Elasticsearch/OpenSearch, Lucene, FAISS, or vector databases. - A track record of making the right…
…Maintain deep fluency in the data models, metrics, and pipelines (SQL, dbt, Snowflake) that power GTM reporting. Partner closely with Analytics Engineering and Data…
…Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform…
…fine-tuning, knowledge graph construction, semantic search, and multimodal representation learning to extract structured intelligence from unstructured data. While ad tech knowledge is a…
…Sanity is looking for a Senior Data Analyst to deliver high-impact analysis that empowers our Product and Engineering teams to make confident, data…
…Provide senior incident command for managed services (RaaS, HnyPC) — the point of last escalation when Tier 2 support and IC3/IC4 engineers need staff…
…S3-compatible object interfaces, Object Lock and immutability semantics, and how failure domains and data locality affect application behavior Experience defining storage qualification standards…
…We are looking for a highly skilled and detail-oriented Staff Software Engineer who can drive the technical roadmap for our Databases (Relational and…
…action across Product, Engineering, and leadership. - Self-serve enablement: Design and scale self-serve analytics ecosystems, semantic layers, and clear data documentation that empower…
…teams Apply advanced knowledge of data structures, algorithms, OO design, design patterns, and performance/scale considerations Raise the engineering bar through architecture reviews, code…
…years of software engineering in computer vision, robotics perception, or autonomous systems, with a track record of technical leadership at Staff or Principal level…
…a Staff Data Engineer. You will drive technical vision and strategy for our analytical data infrastructure which facilitates the transformation and semantic layer that…
…Establish data governance, security, and compliance primitives to power real-time analytics. Lead the Data and AI engineering track. Guide designs, mentor developers, and…
…Unify SAP Data in the Lakehouse: Own the product requirements for getting SAP data into Databricks, including ingestion, semantic and master data modeling, lineage…
…Advance AI initiatives within the Revenue data ecosystem by identifying high-value use cases, integrating AI into analytics engineering workflows, and establishing the semantic…
…a Staff Software Engineer to serve as a technical anchor for the Agent Gateway team. You will own critical parts of the data and…
…At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics…
…You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or…
…understanding of transactional consistency models - ACID semantics, with deep knowledge of tradeoffs between relational and NoSQL database technologies Expertise with synchronous and asynchronous network…
…semantic IDs, sequence models over long user histories, and conversational recommendation systems. - Deep experience with the full ML engineering lifecycle: training, deployment, monitoring, data…
…Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Staff Frontier Agent Engineer (Applied…
…Team Leadership & Management (People scope) Partner with recruiting to attract, evaluate, and hire senior and staff data engineers; raise the technical bar with every…
…act as the primary technical voice in cross-functional design reviews with Research Scientists, Product, Data Engineering, MLOps, and Search Infrastructure teams. Unblock the…