Top Machine Learning Jobs in Chicago, IL

The Application Engineer will oversee the design and implementation of products, manage risks and customer-impacting issues, analyze and deploy new user stories and product features, provide mentorship to junior engineers, and maintain IT standards and architecture compatibility.

As a Machine Learning Engineer, you will design and implement machine learning applications and systems, ensuring their performance and availability. You'll collaborate with various teams to solve business problems using ML models, develop and validate these models, and manage code quality and best practices in AI.

As a Senior Manager, Machine Learning Engineering at Capital One, you'll design and implement machine learning applications, collaborate with cross-functional Agile teams, optimize ML systems, and ensure the performance and scalability of these applications. Your role will involve leading teams, making decisions on ML infrastructure, and following best practices for code management and responsible AI.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale ML algorithms for massive datasets, implement MLOps, write production-ready code, and collaborate with teams to deliver high-quality AI solutions and products.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, enhance ML engineering platforms, implement ML Ops for model tracking, and produce scalable machine learning algorithms while collaborating with client teams to deliver high-quality projects.

As a Machine Learning Engineer, you will develop large-scale distributed training pipelines, optimize low-latency inference systems, and collaborate with researchers and engineers to enhance ML frameworks, ensuring real-time predictions and maximizing GPU acceleration.

The role involves building self-service components for a machine learning platform, improving cloud infrastructure, collaborating with technical teams, and ensuring effective deployment processes while leading best practices in software development.

The Machine Learning Researcher will conduct innovative research in machine learning focused on open-source AI, design advanced algorithms, collaborate across teams, publish research findings, and stay updated with advancements in the field.