Top Machine Learning Engineer Jobs in Chicago, IL

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.

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

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.

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

The Senior Staff Machine Learning Scientist will develop AI-powered products, build ML models and pipelines at scale, and lead the applied science team in an agile environment.

The Machine Learning Engineer will develop scalable ML systems, create APIs, and write production-quality code while collaborating with cross-functional teams to deliver business solutions.

The role focuses on developing LLM solutions, optimizing ML pipelines, advising data teams on architecture and tooling, and collaborating cross-functionally.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, and partner with cross-functional teams.

Lead and collaborate on engineering design and development, write maintainable code, and partner with clients to extract requirements and manage projects.

As a Senior Machine Learning Engineer, you will design and implement ML systems across various sectors, lead technical discussions, and collaborate with data scientists to drive innovative solutions.

The Senior Machine Learning Engineer will build and deploy ML models for Risk and Fraud detection, lead technical efforts, manipulate data using SQL, develop code, design experiments, and partner with various teams.