Top Machine Learning Engineer Jobs in Chicago, IL

Join the GoHealth team as a Machine Learning Engineer to develop production machine learning and AI solutions. Collaborate with business stakeholders to deliver intelligent AI solutions and work on scaling ML pipelines. Bachelor's or Master's degree in a quantitative or engineering discipline is required.

As a Machine Learning Engineer at Dropbox, you will design, build, evaluate, deploy, and iterate on large scale ML systems, collaborate with cross-functional teams, and impact millions of users with personalized experiences.

Work as a Machine Learning Engineer at ZS AI Practice, building transformative AI-enabled data products and solutions. Responsibilities include building model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, implementing ML Ops, writing production-ready code, collaborating with client teams, and researching latest technologies.

Build AI and Machine Learning solutions for enterprise services, collaborate with a team to produce quality software, and own the code implementation and delivery. Requires expertise in Java or Python, Design Patterns, and AI/ML techniques.

Build, orchestrate, and monitor model pipelines, scale machine learning algorithms on massive data sets, implement ML Ops, write production-ready code, collaborate with client teams and global development team, research and evaluate latest technologies.

As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering machine learning models to solve real-world business problems. You will collaborate with cross-functional teams to create state-of-the-art big data and ML applications, leveraging cloud-based architectures and continuous integration practices. The role requires at least 4 years of programming experience with Python, Scala, or Java, 3 years of experience in designing data-intensive solutions, and 2 years of experience with industry-recognized ML frameworks.

Senior Machine Learning Engineer specializing in Transformational AI at a global AI innovator. Responsibilities include AI exploration, POC data set creation, data pipeline development, rapid prototyping, automated feature engineering, collaboration, innovation, and monitoring AI trends.

As a Senior Machine Learning Engineer at Capital One, you will be part of an Agile team dedicated to productionizing machine learning applications at scale. Responsibilities include designing, building, and delivering ML models, informing ML infrastructure decisions, solving complex problems, collaborating with cross-functional teams, and leveraging cloud-based architectures.