Meta is seeking a Software Engineer to join the MTIA (Meta Training & Inference Accelerator) Software Tooling team, which develops and maintains the tooling ecosystem…

…Picture your work influencing smarter, more personalized, and intuitive experiences for hundreds of millions of users around the globe. As a Senior Software Engineer…

…Rowe Price, and other leading investors About the Role Nuro takes a machine-learning-first approach to autonomous driving, and the ML Infrastructure team…

…focus on TPU architecture and its integration within AI/ML-driven systems. As a Senior Staff Co-Design Engineer on the TPU Chip Architecture…

…As a Staff Software Engineer - Insurance, you will be a senior technical leader across two connected fronts: diagnosing and evolving our service architecture as…

…Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning…

…and data models Experience in data engineering or AI/ML projects Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology…

…and hands-on Senior full-stack developer to build the next generation AI platforms and products that improve business efficiency and productivity. This engineer…

…You will work directly with senior engineering leadership to shape how our platform evolves, ensuring every model we serve is fast, cost-efficient, and…

…development, and can set platform strategy, develop strong engineers, and make sound architectural tradeoffs across data, ML, agent systems, and cloud infrastructure. What you…

…individual contributors to senior engineers and managers. Nice to have - Prior experience working with complex data infrastructure or AI/ML platforms highly desirable - Experience…

…You'll work at the intersection of AI systems performance, distributed infrastructure, and software engineering to help the team make data-driven decisions about…

…AI, and AI Systems/Infrastructure — pushing the boundaries of what is possible in model capability, efficiency, and reliability. Design, develop, and evaluate next-generation…

…stability, resilience, and agility of our environments. -You will also evaluate existing workflows and recommend improvements that increase efficiency, consistency, accuracy, and scalability across…

…As a Senior Lead Software Engineer at JPMorganChase within the Chief Technology Office team, you will shape architecture and drive delivery across the firm…

…As a Senior Lead Software Engineer at JPMorganChase within the Chief Technology Office team, you will shape architecture and drive delivery across the firm…

…Deep System & Software Engineering Expertise: Mastery of Python, RESTful API design, Protobuf, and microservices architecture. Production AI/ML Infrastructure Mastery: Deep expertise with Docker…

…resolution, partnering with engineering and data science to continuously improve accuracy and eliminate context loss across handoffs Own the evaluation layer for the systems…

…and data models Experience in data engineering or AI/ML projects Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology…

…Innovation & Thought Leadership Monitor and evaluate emerging technologies to inform strategic direction. Lead innovation in delivery models, reusable assets, and accelerators to enhance efficiency…

…In this hybrid role, you will report to a Senior Research Scientist. You will: Build and operate the petabyte-scale data systems and ML…

The Senior AI Agent / ML Engineering Manger role is a hands-on technical leadership role responsible for defining, building, and operating next-generation AI…

…The Messaging Infra team is looking to hire a Senior Software Engineer who is excited to solve large scale streaming infrastructure and distributed messaging…

…About the team The Edge AI ML Platform and Infrastructure team brings together software engineers, ML infrastructure engineers, and GPU performance specialists. We build…

…APIs to engineering the platforms, evaluation systems, and optimization layers underneath the infrastructure that makes AI capabilities reliable, cost-efficient, and usable at scale…