Top Machine Learning Jobs in Chicago, IL

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.

As a Machine Learning Engineer III, you will develop and optimize ML solutions, analyze data to support product features, and collaborate with teams for continuous improvement.

The role involves leading a team to create innovative technology focused on artificial intelligence and natural language processing, aiming to transform digital communication.

Design and implement computer vision models for 3D dental applications, focusing on generative AI and MLOps. Collaborate with research and product teams for enhancements and ensure best practices.

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.

Lead AI research and development, focusing on machine learning solutions, collaborating with teams, and developing product strategies for advanced R&D projects.

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

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.

The Applied Scientist will develop and integrate AI models in financial tech, focusing on NLP and CV applications, and lead projects to improve AI solutions.

The Practice Director will lead a team in delivering strategic expertise in Data Engineering and AI/ML, focusing on practice growth, engagement management, and client satisfaction while mentoring and developing team members.

Design and implement machine learning solutions on cloud platforms, engage with customers to define requirements, and oversee project delivery from inception to deployment.

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

Lead research for generative modeling of molecular systems at Genesis AI, driving innovation and collaboration with engineers and biochemists, while mentoring junior staff and contributing to the research community.

As a Principal Solutions Architect, you will design data solutions, provide thought leadership, and enhance client engagement in machine learning.

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