…Prior experience in advertising industry, federated learning and privacy-preserving ML techniques. Recognized as a technical leader and mentor, supports the growth of engineers…

…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 external safety and security testing arrangements Support safeguards and security engineering, ML, and data science teams on building new tooling and detection mechanisms…

…field teams (FDE, Solutions Engineering). Proven understanding of geospatial data platforms, cloud architectures, APIs, extension layers, and analytics/ML pipelines. Proven ability to separate…

…You - Have 3+ years leading or managing engineers, in AI/ML infrastructure or another large-scale compute environment. - Have owned production systems with real…

…and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Master’s degree or PhD in Engineering, Computer…

…7 years of experience leading technical project strategy, ML design, and working with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging…

…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…

…and elevating engineering excellence. Collaborate Across Functions: Partner cross-functionally with ML Research, Product Management, and Infrastructure teams to translate advanced concepts into impactful…

…adjust strategy and resource focus. - Build durable working relationships across AWS security and AI service teams, AGS field organizations, the Security and AI/ML…

…work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees…

…development, sales management, or a related customer-facing role within AI/ML or enterprise technology organizations A track record of earning buy-in from…

…As a senior engineer on the ML Infrastructure and Platform group, you will help architect and build the foundational infrastructure for AI and machine…

…Deployed Engineering efforts — this isn't a purely internal-platform role Desired Qualifications Experience with classical ML (PyTorch/scikit-learn) in addition to LLM…

…advisory programs, and synthesizing insights into product strategy and go-to-market positioning Technical fluency in AI/ML—ability to understand AI capabilities, infrastructure…

…or Rust) Work confidently with Kubernetes and Infrastructure as Code (e.g., Terraform, Pulumi) Understand ML infrastructure and supporting interconnects Ship software through hyperscaler…

…You don't need an ML background — but you should find it interesting to turn fuzzy agent behavior into a signal engineers are willing…

…real-time data, and AI/ML infrastructure, and proactively identify opportunities to advance Webflow's backend platform and engineering practices. Translate product vision into…

…or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI…

…Engineering credibility earned through hands-on experience with technically complex domains — observability, infrastructure, data platforms, or AI/ML systems including model training pipelines, ML…

…working on ML systems, model validation infrastructure, automated testing, or AI-powered applications; hands-on experience with data quality, feature engineering, and model monitoring…

…ML platform team: understand the cluster shapes they need — topology, interconnect, scheduling constraints — and encode them as first-class abstractions in the platform. Engineer…

…both creative and technical — able to hold a conversation with an ML engineer about model architecture and an editor about pacing/SLX in the…

…You'll build hyper-scale online systems, offline data pipelines, and ML infrastructure to transform core areas like ad retrieval, ad allocation, whole-page…