Jobs
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 Data Engineer - Data & ML Platform”. A match may be a passing mention rather than the job itself. Titles only.
1,005 roles across 1,148 listings · show every listing · page 1 of 41
ABOUT THE ROLE As a Staff Data Engineer, you will be a technical leader on the Data & ML Platform team, owning the architecture and…
ABOUT THE ROLE We're looking for a Senior Staff Data Engineer to be the technical backbone of our Data & ML Platform team — the…
…Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities…
…Support safeguards and security engineering, ML, and data science teams on building new tooling and detection mechanisms, including as it relates to data governance…
…and security engineering, ML, and data science teams on building new tooling and detection mechanisms, including as it relates to data governance and privacy…
…platform teams and technical field teams (FDE, Solutions Engineering). Proven understanding of geospatial data platforms, cloud architectures, APIs, extension layers, and analytics/ML pipelines…
…12+ years of progressive HR Business Partner experience, including experience supporting Engineering, Product, AI/ML, Platform, or other highly technical organizations. Demonstrated success partnering…
…As a Senior Staff Generative AI Engineer, you will be a technical leader driving the architectural outlook, data engine, and evaluation frameworks for core…
…Indexing Engine platform, Web Data Service (for rapid prototyping and product-ionization of new slice-of-web verticals) and indexing for embeddings/ML based…
…5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 2 years…
…As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and…
…Strong computer science fundamentals - algorithms, data structures, parallel and distributed programming. Understanding of computer architecture, ML accelerators, in-memory processing and distributed systems. Strong…
…You will work to shape the machinery that goes into our data centers affecting millions of Google users. Our Platforms Infrastructure Engineering team designs…
…related field or equivalent experience Preferred qualifications Experience selling AI/ML, cloud, data platforms, or enterprise SaaS to regulated industries such as financial services…
…Partner with data platform engineers to integrate ML orchestration and metadata tracking tools with our existing data lake and pipelines. Engineering Excellence, Growth and…
…Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better…
…Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field, or equivalent practical experience. 1–3 years…
…Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better…
…Understand ML infrastructure and supporting interconnects Ship software through hyperscaler marketplaces or managed-model platforms Bring a background in security, compliance, or data residency…
…dedicated data science partners, ML engineers with search backgrounds, and design coverage are committed to the team. Ideally, you've also built beyond search…
…for the agent platform, replacing the parallel per-service logging, correlation, and redaction mechanisms in use today The span data model for agent trajectories…
…systems, experimentation platforms, real-time data, and AI/ML infrastructure, and proactively identify opportunities to advance Webflow's backend platform and engineering practices. Translate…
…Engineering credibility earned through hands-on experience with technically complex domains — observability, infrastructure, data platforms, or AI/ML systems including model training pipelines, ML…
…and data flows using cloud, local databases, and applicable storage forms Build & Automate Data Transformation — Develop technical tools using ML and data-engineering techniques…
…ML platform team: understand the cluster shapes they need — topology, interconnect, scheduling constraints — and encode them as first-class abstractions in the platform. Engineer…