Top Senior Machine Learning Jobs in Chicago, IL

Lead machine learning projects from conception to production, enhance ranking systems, mentor team members, and implement high-performance distributed systems.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

The Senior Machine Learning Platform Engineer will optimize ML infrastructures, mentor junior engineers, and raise engineering standards for ML models and systems.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

The Senior Machine Learning Engineer will design and optimize ML discovery features, oversee projects, mentor engineers, and manage the ML lifecycle from data ingestion to model deployment.

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 Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

Build and optimize machine learning recommendation systems for personalization at scale, impacting engagement and revenue across platforms.

As a Senior ML Engineer, you will build scalable ML systems for optimizing ad performance, collaborating across teams to enhance algorithms and business outcomes.

The Senior ML Engineer will build and deploy ML models, optimize systems for performance, and collaborate with product teams to enhance personalization features.

As a Senior Machine Learning Engineer at Launch Potato, you will build scalable ad performance systems, optimize revenue, improve user experience, and collaborate globally on data-driven solutions.

Build and scale production ML systems for real-time recommendations, optimizing personalization experiences for millions of users. Collaborate with teams for effective feature deployment and continuously improve model performance through rigorous testing.

Build and deploy machine learning models for personalization and optimization, develop ranking algorithms, and analyze performance metrics.

As a Lead ML Engineer, you will build ML models for personalized recommendations at scale, enhancing user engagement and business growth through data-driven insights.

The Lead ML Engineer will develop scalable ML systems for ad performance optimization, focusing on algorithms that enhance revenue and user engagement. Responsibilities include building infrastructure, conducting experiments, and collaborating with teams to drive impactful outcomes.

The Lead Machine Learning Engineer will develop and optimize machine learning systems focused on ad performance and user engagement, collaborating globally to drive measurable business outcomes.

The job involves developing and optimizing machine learning models, overseeing model risk, and collaborating with teams on AI-related projects.

Design, build, and optimize ML systems for recommendations at scale. Collaborate with teams on data pipelines, model development, and experimentation.

The role involves designing, building, and optimizing large-scale ML systems for personalized recommendations, focusing on data ingestion, model training, and collaboration with cross-functional teams.

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-driven machine learning solutions to optimize customer experience through personalization and recommendations, while guiding team technical direction.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

Lead the Auto-Bidding team's technical vision, optimize recommendation and forecasting systems, mentor a high-performing engineering team, and drive technical projects in ad technology.

Lead a team of Machine Learning engineers, drive technical direction, oversee large-scale ML systems and improve user experience for over 500M users.