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 “Lead, ML Data Operations”. A match may be a passing mention rather than the job itself. Titles only.
4,646 roles · group by role · page 1 of 186
…ABOUT THE ROLE We're looking for a Lead of ML Data Operations to build and lead a new function at Suno. This team…
…IC mission owners, analysts, collectors, operators, Chief Information Officers, Chief Data Officers, Chief Information Security Officers, and acquisition leaders to identify and prioritize high…
…Support safeguards and security engineering, ML, and data science teams on building new tooling and detection mechanisms, including as it relates to data governance…
…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…
…We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are…
…What You'll Do - Lead and grow a distributed team of top-talent engineers responsible for the deployment and operation of production systems infrastructure…
…Experience owning/driving roadmap strategy and definition - Experience with AI/ML technologies - Experience leading engineering discussions around technology decisions and strategy related to a…
…We hire TPMs across several areas - for example robotics, evaluation & validation, AI platform, and data operations - and we'll explore the best fit with…
…Experience in DevOps, developer tools, observability, AI and ML, or related technology ecosystems. A strategic, data-informed approach to prioritization, budget allocation, and operating…
…testing appropriate distributions, testing the assumptions behind frequentist stats Proficient in using a statistical scripting language and data science/ML packages (e.g. python…
…the Zoox Road Network (ZRN) map graph, S3 artifact pipelines, downstream fleet and mission systems, and ML-assisted annotation workflows. Operate production infrastructure: Bazel…
…5 years of experience leading product management teams. Domain experience in AI/ML (trajectories, evaluation, and context knowledge). Preferred qualifications: Master's degree, or…
COMPANY OVERVIEW Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT…
…We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data…
…The Capacity team plays a pivotal role in provisioning the cloud resources essential for Snowflake's operations and ongoing growth. Capacity Engineering accurately models…
…Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime…
…s privacy program operations end to end: data inventory, DSAR intake and fulfillment, DPAs and cross-border transfer mechanisms, data retention schedule, subprocessor onboarding…
…About the role The Cloud Operations team is seeking an experienced engineering leader to scale the platform our internal and external customers use to…
…operational outlook, strategic roadmap, and performance goals for electrical infrastructure across a landscape of commercial offices, research labs, and data centers. You will lead…
…Enhance signal processing and ML algorithms in order to filter noise and ensure accurate, efficient processing of data. Collaborate with hardware engineering to ensure…
…2+ years of experience managing, mentoring, or leading data engineering teams. Demonstrated experience designing and operating production-grade data platforms and cloud architectures. Strong…
…Architect scalable data warehouses, data lakes, and modern data stack operations (MLOps). 4. Governance, Analytics & Reporting Establish governance policies to ensure high data quality…
…new business opportunities in hardware testing, AI/ML data collection, diagnostics development, and repair initiatives. Lead cross-functional discussions with Ops and Engineering partners…
…You will lead the technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and…