…data platform Experience hiring, developing, and retaining senior engineering leaders; experience partnering with (or serving as) Product ownership on a platform product In-depth…

Designs and builds modern data platform that enable scalable analytics and AI initiatives. AI/ML, No Code and Lo Code are the fastest-growing…

…Preferred Qualifications Experience managing teams that build AI platforms, agent runtimes, inference systems, or developer platforms. Experience with GPU inference optimization, model serving, workflow…

…Collaborate daily with research scientists, engineers, and product managers to ship high-quality, high-impact work. Own your work from design through implementation, testing…

…Drive tooling strategy and evaluation for AI/ML platforms across the organization. Drive mentorship of senior engineers across multiple products or problem areas; coach…

…Airbnb is a vision and mission driven company, and our Product Managers embody that mindset. Platform PMs imagine the ideal end state for our…

…an organization of around 25 engineers, together with the managers who run each area. The platform is already in production and running a growing…

…ML platform including training, inference, feature management, governance Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and…

…simulation, and Model Development Platform across the UK and US. Key responsibilities Lead and grow the team - directly manage four Senior MLEs in London…

…Support MLOps workflows including automated training pipelines, model artifact management, experiment tracking, and reproducible ML lifecycle operations. Build security and governance controls, manage production…

…transformer based ML models to improve downstream detection tasks. Work cross functionally with product, platform, engineering and operational stakeholders to deploy production grade systems…

…SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent…

…5+ years of software engineering/production infrastructure industry experience. Experience with Python and Go. Experience with cloud platforms (AWS, GCP, or Azure), distributed systems…

…Multi-Cluster & Multi-Tenant Platforms: Experience designing and operating multi-tenant ML platforms that serve multiple research teams, with robust resource isolation, quota management…

…Provide technical expertise and organizational leadership to manage complex escalations, collaborating across Sales, Support, and Product teams to coordinate resolutions and deliver a high…

…Cutting across all of it are the problems that decide whether the platform is fast, affordable, and operable: context and cache management, model asset…

…with technically complex domains — observability, infrastructure, data platforms, or AI/ML systems including model training pipelines, ML infrastructure, and GPU compute. You can go…

…setting operational standards, influencing engineering direction across teams, mentoring senior engineers, and partnering deeply with platform, hardware, firmware, and service teams to drive durable…

…Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. Navigate enterprise and regulatory…

…and company concerns, including monitoring model performance and drift in production IaaS procedures and practices, including managed AI/ML services (e.g., Bedrock/SageMaker…

…and company concerns, including monitoring model performance and drift in production IaaS procedures and practices, including managed AI/ML services (e.g., Bedrock/SageMaker…

…between models and hardware Apply advanced performance optimization techniques that directly impact product quality and operational excellence Develop deep expertise in ML systems, AI…

…Now we're turning bespoke, program-driven wins into products that scale across customers, platforms, and theaters — and design carries a lot of that…

…accelerate adoption of AWS Generative AI and ML services. You will engage with senior engineers, architects, product leaders, data scientists, and executives at strategic…

…resolve complex production challenges, including model performance tuning, capacity planning, multi-region deployment strategies, and integration patterns with customers' existing ML pipelines Gather, decompose…