Top Machine Learning Engineer Jobs in Chicago, IL

Lead the design and implementation of advanced machine learning models to solve complex problems, working closely with teams to enhance services through AI/ML solutions.

The Principal ML Engineer will establish personalization strategies, solve complex ML challenges, design advanced ML solutions, and mentor junior engineers.

The Principal ML Engineer will define and implement ML personalization strategies, architect scalable systems, mentor engineers, and contribute to the ML community while focusing on innovative, privacy-preserving solutions.

As a Principal ML Engineer, you'll design ML architecture, solve technical challenges, mentor others, and represent the company in the ML community.

Lead ML strategy and architecture focused on personalization, solve complex challenges, mentor engineers, and represent the company in the ML community.

Lead the technical vision for personalization at Launch Potato, solving complex ML challenges and driving alignment across teams using advanced ML techniques.

The Principal Machine Learning Engineer will design ML architecture, solve technical challenges, mentor other engineers, and lead initiatives across the company.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

The Lead AI/ML Engineer will oversee foundation model projects, focusing on model serving, inference optimization, and deployment, while managing a collaborative team and creating infrastructure for scalable model solutions.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

Lead the development of AI/ML platforms, architecture, and infrastructure, ensuring technical excellence, mentorship, and effective solutions to meet business needs.

The Machine Learning Engineer will develop and enhance ML models, design training pipelines, and analyze model performance. Responsibilities include maintaining inference services, collaborating with engineers for integration, and researching computer vision techniques.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Join Zoro's Data and Machine Learning Platform team as a Software Engineer II. Develop scalable tools, support data workflows, and enhance platform agility by collaborating with cross-functional teams.

Lead the design, development, and implementation of advanced machine learning models and algorithms. Collaborate with teams to enhance services through AI/ML solutions and deploy models in production for improved customer experiences.

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

As a Staff Machine Learning Engineer, you will develop, productionize, and deploy ML models for clinical use, ensuring real-world effectiveness through hands-on coding and infrastructure building.

Develop and optimize machine learning models for processing financial documents, mentor junior staff, and collaborate across teams to enhance software products.

The Senior Staff AI/ML Engineer will design, develop, and deploy scalable machine learning models, collaborating with teams to address business challenges and ensure high performance in production environments.

A Machine Learning Engineer will design and optimize AI components, develop datasets, evaluate models, and collaborate cross-functionally to enhance AI insights.

The Senior Machine Learning Engineer will develop and optimize voice-centric AI systems, manage ML lifecycle, and ensure high-quality conversational experiences in production environments.

The role involves developing AI solutions, managing user behavior insights, and deploying large-scale AI services with collaborative efforts in a remote environment.