…CTOs, ML researchers, ML infrastructure teams, platform leaders, and developer communities. Identify and accelerate high-value workloads such as foundation model training, fine-tuning…

…Lead AI Infrastructure Vision: Architect end-to-end training, fine-tuning, and low-latency inference platforms, including centralized RAG architecture, vector databases, and enterprise…

…with researchers to implement privacy-preserving training methods that protect user data while maintaining model quality Build foundational privacy infrastructure, including automated data discovery…

…The install experience is critical to the compounding value of every Samsara product. A camera aimed correctly on day one trains better safety models…

…Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products…

…Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters…

…and robotics datasets, distributed training infrastructure and a growing fleet of physical platforms. You will collaborate closely with researchers, ML engineers, roboticists and hardware…

…s foundation model development Shepherd cutting-edge foundation models from research prototypes to robust components within the Waymo Driver Create the automated infrastructure for…

…profile data Implement research ideas in production-quality code Mentor engineers on ML best practices; translate research advances into deployable systems Optimize training throughput…

…agentic AI engineering at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to…

…We are looking for a highly motivated Senior Product Manager to help define the strategy and shape of Apple Foundation Models, research, and infrastructure…

…You will own the infrastructure and operational foundations for deploying, scaling, validating, monitoring, and continuously improving these systems in production. This includes model serving…

…environments Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the…

…execute infrastructure changes via pull requests (infra-as-code) for tasks such as endpoint configuration, model bringup/bringdown, and capacity scaling Flag engine-level…

…your own with senior engineers and ML researchers. Familiarity with how coding models are trained and evaluated, including post-training methods, agentic scaffolds and…

…Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We…

…Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products…

…algorithms without coupling research code to training, infrastructure, or deployment implementations. - Design distributed training capabilities across data, tensor, pipeline, and model parallelism for large…

…Solid understanding and practical experience across the model development lifecycle (MDLC), including data acquisition and preparation, model experimentation, training and testing, serving, and MLOps…

…datasets, model architectures, and agentic systems, rapidly developing intuition for what makes AI systems successful in production. Required Qualifications 5+ years of software engineering…

…Designing for, or leading teams that design for, technically complex products such as ELT, data infrastructure, analytics engineering, developer tools, cloud platforms, data governance…

…Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products…

…Hundreds of researchers and engineers across AIMS depend on a shared inner loop — build and test infrastructure, CI/CD, local and remote dev environments…

…library infrastructure and support integration with PLM/ERP systems to align component data with lifecycle management and approved vendor requirements Collaborate with engineering teams…

…Research, Systems Engineering, Applied Mathematics, or a related quantitative field. Experience standing up a centralized modeling or analytics capability from scratch — architecture, data integration…