Top Remote AI Engineer Jobs

As a Microsoft AI Productivity Solutions Engineer, you will facilitate digital transformation by leveraging Microsoft 365 tools, guide AI integration, and lead product planning. Responsibilities include strategy development, deployment, user adoption, and collaboration across teams to optimize productivity with generative AI.

As a Senior Backend Engineer, you will develop AI-driven backend services, ensure system performance, and collaborate with AI/ML engineers for innovative solutions.

Develop AI applications, optimize machine learning models, deploy in production, collaborate with teams, and monitor model performance at DuploCloud.

The software engineer will develop AI/ML applications, focusing on high-performance computing and deployment while ensuring quality through well-tested software.

As an AI/ML Engineer, you will develop machine learning solutions, deploy applications, and analyze user feedback to improve processes. Responsibilities include coding in Python or R, utilizing deep learning frameworks, and producing technical articles.

Research and develop techniques to GPU accelerate AI workloads, collaborate with experts, publish findings, and influence hardware architecture design.

As a Senior AI Software Engineer at KLA, you will develop software solutions for complex semiconductor processes, focusing on machine learning and physics modeling. You'll work with a team on large-scale data management and inference solutions, utilizing technologies such as C/C++, Python, and cloud infrastructure.

As a Senior Software Engineer, AI, you will develop GPU-accelerated libraries for NVIDIA products, focusing on design, implementation, and validation methodologies to enhance user experience and performance across hardware and software platforms.