…multi-hour agentic tasks in investment banking and corporate law, real professional accounting workflows, real-world software engineering, and graduate-level science. Every APEX…

…As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from…

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

…Partner closely with senior recruiters to support hiring for Software Engineering, Autonomy, Robotics, Embedded Software, Infrastructure, Machine Learning, and related technical roles Help manage…

…video and image data for automated threat detection Develop and maintain Infrastructure as Code (IaC) for all ML and application infrastructure Monitor model performance…

…lead complex, cross-functional programs across our engineering org - spanning AI, software, robotics, infrastructure, evaluation, validation, data, and product. You'll turn ambiguity into…

…We are a fullstack high-paced software engineering team. In this role, you will help establish infrastructure, design and develop software tools that will…

…delivering enterprise software, developer platforms, or cloud infrastructure. 5 years of experience leading product management teams. Domain experience in AI/ML (trajectories, evaluation, and…

…You don't need to be a software engineer, but you must be genuinely credible in technical conversations with developers. - Experience serving a high…

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another…

…Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch) Experience with NCCL…

…Collaborate cross-functionally with ML researchers, software engineers, and external clinical partners across Mountain View, London, and Paris. Publish original research in top machine…

…SENIOR SOFTWARE ENGINEER, CAPACITY ENGINEERING At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek…

…infrastructure platforms (e.g., AWS, Azure, Google Cloud) for software deployment and scalability. Demonstrated proficiency in the application of engineering standards into engineering processes…

…environment bridging cloud and on-premise/data center infrastructure Experience managing infrastructure for data-intensive or ML/AI workloads Knowledge of building and maintaining…

…Enhance signal processing and ML algorithms in order to filter noise and ensure accurate, efficient processing of data. Collaborate with hardware engineering to ensure…

…Cross-Functional Collaboration Partner with application engineering, analytics engineering, data science, product, security, and infrastructure teams. Translate stakeholder needs into clear technical requirements and…

…experience with software design and architecture. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). 3…

…Work with software teams on functionality, interfaces, and documentation. Minimum qualifications: Bachelor's degree in electrical engineering, computer engineering, computer science, or a related…

…global systems integrators, enterprise software (ISVs), AI/ML companies, consulting firms, healthcare/fintech solution providers, or VC/PE ecosystems. Demonstrated ability to architect repeatable…

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

…Experience leading complex cross-functional technology programs involving software engineering, enterprise platforms, cloud infrastructure, compliance, or audit controls. Ability to work with engineering teams…

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

…Azure Landing Zones, hybrid and multi-cloud architectures Secure infrastructure platforms supporting AI/ML, data, and mission workloads Governance, identity, networking, resiliency, and operational…

…best infrastructure, compute, data, and services for both first-party and third-party ecosystems and provides ML software tools, services, solutions and infrastructure to…