Top Machine Learning Jobs in Chicago, IL
Seeking a Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team at a company focused on economic empowerment. Responsibilities include building self-service tooling for the model lifecycle, collaborating with internal teams, leading architectural discussions, mentoring teammates, and more.
Senior Software Engineer role at Atlassian's Central AI team, responsible for building and maintaining core infrastructure for machine learning models and pipelines. Involves solving complex infrastructure challenges, leading projects, and collaborating with internal teams. Required skills include Java, Kotlin, Python, AWS, Apache Spark, and basic understanding of Machine Learning projects lifecycle.
Design equitable, explainable, and competitive compensation programs at Atlassian. Base pay ranging from $165,500 to $265,800 depending on skills, expertise, or experience. Eligible for benefits, bonuses, commissions, and equity.
Senior Software Engineer in the Central AI team at Atlassian responsible for building core infrastructure for machine learning engineers and data scientists. Lead projects from technical design to launch and collaborate with internal teams. Requires 5+ years of software development experience.
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.
Featured Jobs
Seeking a Senior Machine Learning Engineer to apply machine learning to solve various problems, build infrastructure, and shape team development. Responsibilities include delivering AI-powered products, conducting data analysis, building ML models, and challenging conventional thinking. Must have 6+ years of experience in data science/machine learning, experience with AWS services, and proficiency in writing SQL queries.
Join Square as a Senior Machine Learning Engineer specializing in attribution space within the Measurement Machine Learning teams. Develop cutting-edge ML models and algorithms to provide insights for strategic investment decisions. Collaborate with various stakeholders to inform growth strategy with data-driven attribution solutions.
Develop and maintain the vision, roadmap, and strategy for the research and development product within the Decisioning Platform at Discover. Collaborate with stakeholders to align product features with business goals and lead the design and implementation of new product strategies. Define KPIs and OKRs, create prototypes based on customer feedback, and oversee product lifecycle activities.
Grainger is seeking an Applied Machine Learning Scientist to build innovative ML solutions in Search, Information Retrieval, Recommendations, and Conversational Product Finding. The role involves working with product managers, data scientists, engineers, and analysts to create scalable ML solutions.
Join Arity's Geospatial Data Science team to build scalable distributed machine learning models and extract innovative insights from raw GPS data. Help make transportation smarter, safer, and more useful for everyone by creating actionable insights from geospatial data.
Seeking a skilled Data Scientist with 1-5 years of experience in data science, analytics engineering, machine learning engineering. Responsibilities include developing predictive models, working on data products using Python and SQL, and staying updated on industry trends in data science and fintech.
Manager of Machine Learning responsible for leading a team of data scientists and ML engineers to create new data products from financial transactions at Apex Fintech Solutions. Key duties include overseeing model development, collaborating with stakeholders, and keeping up with advancements in ML and AI. Requires 5+ years of building ML solutions, 3+ years of managing people in tech companies, and experience with cloud technologies like GCP, AWS, and Azure.
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