Top Machine Learning Jobs in Chicago, IL

The Director will define AI strategies, lead development of AI agents, drive engineering enablement, and ensure solutions meet business objectives while aligning with enterprise standards.

Lead development and deployment of fraud and risk models using ML/AI. Build scalable data pipelines, ensure data quality, validate models, collaborate with engineering and product teams, mentor junior data scientists, and monitor fraud/risk metrics to optimize detection while balancing user experience.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The Founding Staff AI Engineer will design and implement production-grade AI systems focused on document intelligence in the insurance sector, collaborating with co-founders to shape the architecture and roadmap for AI solutions.

The Data Scientist will advance baseball analytics by developing machine learning models, innovating analytical approaches, and extracting actionable insights from complex data.

As Co-Founder & CEO of InfluTracker, you will lead the development of an AI content intelligence platform, define market strategies, and recruit a founding team while leveraging FutureSight's resources and networks.

The Business Analyst will identify opportunities for data and AI integration, shape business needs into structured solutions, and prioritize projects in collaboration with technical teams while driving initiatives from conception to implementation.

As a Senior Associate, you will deliver AI and Data strategies, collaborate with teams, and interact with stakeholders, ensuring effective implementation.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

The AI Platform Engineer III will lead AI and data platform solutions, mentor team members, and design robust architectures for data products, collaborating with business partners to solve complex problems.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

As an AI/ML Data Contributor, you will label data, evaluate content, and test user experiences for machine learning projects, participating remotely or onsite as needed.

The AI/ML Data Contributor will perform data labeling, content evaluation, and participate in user-based testing to enhance machine learning models, following project guidelines.

As an AI/ML Data Contributor, you'll perform data labeling, annotation, and content evaluation tasks, supporting machine learning model improvements.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

Lead the technical direction of a computer vision platform for sidewalk inspection. Responsibilities include managing ML models, improving data pipelines, and architecting systems for terabytes of geospatial data.

Design, train, and implement domain-specific LLMs for automation in restoration companies. Collaborate with teams, coordinate AI engineering, and ensure model reliability.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

The Lead Actuarial Data Scientist leads the development of pricing models and rating plans in personal lines insurance, utilizing advanced predictive modeling and machine learning techniques. This role involves collaborating with cross-functional teams, technical guidance, and mentoring while enhancing pricing strategies and model accuracy.

As a Machine Learning Engineer, you'll design, build, and maintain models to detect security threats, ensuring model efficiency and aligning initiatives with business goals.

The Junior-Midlevel Developer will build and enhance Dumroo.ai's AI-powered education platform, collaborating on software components, data pipelines, and machine learning features.