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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 Data Engineer - Data & ML Platform”. A match may be a passing mention rather than the job itself. Titles only.
177 roles across 186 listings · show every listing · page 1 of 8
…Working closely with engineers, ML researchers, and the product teams who ship on your platform, you'll decide what gets built, why, and how…
…Operations / ML Operations Proven ability to manage complex, technical projects and experience working across technical partners (Product, Engineering, Data Science, Systems Engineering) to drive…
…partners, including governance of partner-delivered workstreams - Experience with AI/ML and data transformation programs, sufficient technical acumen to engage credibly with technical leads…
…datasets Preferred qualifications Experience with deal registration systems, partner relationship management (PRM) platforms, and commission management tools Previous experience at an AI/ML or…
…focus Drive continuous improvement through post-campaign analysis, stakeholder feedback, and data-driven optimization Minimum qualifications Demonstrate deep understanding of B2B enterprise sales cycles…
…WHAT YOU’LL DO - Build the team and platform that become Hadrian's data backbone. Lead the engineers responsible for the path from machines…
…The platform processes 25+ trillion data points annually from IoT sensors, cameras, and connected devices across thousands of organizations, and that dataset is compounding…
…engines, content filters, or responsible AI frameworks — through professional work, research, coursework, or technical projects. - Experience with retrieval systems, knowledge graphs, or data platforms…
…As the volume of measurement asks grows, we need a seasoned researcher who can partner with Data Science and Engineering as an equal — not…
…Design for complex, data-dense workflows: dashboards, mapping interfaces, alerting systems, and analytical reporting tools. Work directly in code alongside engineers, going beyond static…
…customer-centered approach to prioritization that combines qualitative insight with quantitative data. Preferred qualifications • Experience with endpoint security, device management, zero-trust, least-privilege…
…History of effective communication, storytelling, and alignment across all levels of leadership and cross-functional partners (Product, Design, ML Engineering, Data Science). Mentorship & Leadership…
…Key job responsibilities Working with customers' development, data science, and AI engineering teams to deeply understand their business and technical needs. After understanding their…
…of innovation across technology areas, such as Compute, Storage, Database, Big Data, AI/ML, Networking, Serverless and more. You will have the opportunity to…
…Experience implementing Bayesian calibration techniques for handling adversarially-biased, sparse, or imbalanced datasets. Familiarity with data governance practices and platform engineering, specifically managing the…
…CorpTech Platform is the internal engineering force multiplier behind Anduril’s corporate systems. It drives CorpTech engineering forward through strategic investment in data platforms…
…and learn from their data. We are building a next-generation AI-powered platform at the intersection of classical ML and modern GenAI. The…
…delivering production AI or ML platforms - Track record of developing engineering managers and senior technical leaders - Experience representing engineering to executive leadership (VP/C…
…As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and…
…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience…
…Expertise in vector databases, GPU-accelerated query engines, or distributed data platforms. Experience supporting the complete AI application lifecycle, from development through production serving…
…engineering, Computer Science, AI/ML, or a related field. 12+ years of software, systems, or infrastructure engineering experience, preferably in production or datacenter environments…
…As a Senior Software Engineer (ML Data & Backend) , you will architect mission-critical systems that power the foundation of trust across our global marketplace…
…Staff on strategic projects and cross-cutting initiatives that don't have a natural single owner. - Partner with engineering, SRE, customer success, and data…
…large-scale, distributed datasets to identify new signals and improve model accuracy and robustness Collaborate with cross-functional teams across engineering, infrastructure, and product…