Top Machine Learning Engineer Jobs in Chicago, IL

Develop specialized software for real-world machine learning use cases, optimize system performance, and manage production environment health.

Join the Hugging Face Special Ops team to bridge AI models with hardware, design user-friendly APIs, and enhance performance and deployment efficiency.

The Machine Learning Engineer will lead ML function, develop data pipelines, refine models, analyze data, and present insights to stakeholders.

The Staff Machine Learning Engineer will design scalable ML systems and improve model performance, collaborating on architecture and MLOps strategies while ensuring code quality.

The Cloud Machine Learning Engineer will build ML solutions on cloud platforms, integrate Hugging Face libraries, ensure performance, and develop robust APIs.

As a Machine Learning Engineer, you'll develop ML models and systems, collaborate with cross-functional teams, and experiment with data-driven methods to enhance user personalization on Pinterest.

As a Machine Learning Engineer at Hightouch, you will build intelligent solutions for data activation, focusing on personalization, experimentation, predictive modeling, content generation, and budget optimization. Responsibilities include customer research, problem definition, and machine learning infrastructure development.

The role involves building MLOps and Generative AI services, developing analytical tools, and managing model deployment pipelines in the cloud.

Lead the design and integration of Generative AI in Firefox. Build training infrastructure for language models and optimize performance.

Design and develop machine learning models, oversee project execution, mentor teams, and maintain client relationships while driving innovative solutions and improvements.

The Staff Machine Learning Engineer leads the development of AI and machine learning systems, mentors teams, and ensures scalable, production-grade solutions while enhancing user engagement.

The Senior/Staff Machine Learning Engineer will design scalable data pipelines, implement ML algorithms, and work on microservice architectures for ad optimization.

As a Machine Learning Engineer, you'll design scalable data pipelines, implement ML algorithms, and collaborate with data scientists and engineers at StackAdapt.

As an Intern Data Scientist/Machine Learning Engineer, you will develop machine learning models, analyze data, and collaborate with experienced professionals in a fast-paced environment.

As a Senior Machine Learning Engineer, you will develop ML solutions for clinical research, collaborating cross-functionally to improve cancer care. Responsibilities include applying AI tools, optimizing language model strategies, and working with quantitative scientists and software engineers.

As a Senior Machine Learning Engineer, you will focus on the development and maintenance of machine learning infrastructure, deploying scalable models, collaborating with teams, and mentoring junior engineers.

The Machine Learning Engineer will design scalable ML solutions, analyze customer data, automate processes, and implement algorithms for business problems.