Top Machine Learning Jobs in Chicago, IL
As a Full Stack Engineer in the Data & Analytics organization, responsible for building and releasing reliable software systems at scale. Focus on building Discover's strategic Enterprise Machine Learning Platform. Design elegant solutions, guide team from inception to production, and actively manage risks and issues.
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.
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead multi-person projects, maintain high code quality, collaborate with cross-functional teams, and mentor fellow engineers. Work on critical projects impacting business success.
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Parliament Collective Intelligence is seeking a Data Science & Visualization Associate to transform complex data into visually appealing insights for decision-making in the social sector. Responsibilities include data analysis, visualization, and collaboration with team members and clients.
Lead experimental research projects to optimize large language models, innovate on data curation strategies, publish impactful findings, and continuously refine AI models at ServiceNow's Foundation Models Lab.
As a Senior Consultant at Analytics8, you will work with a variety of companies, managing and implementing BI and DWH projects. You will be responsible for managing small projects, gathering customer requirements, mentoring junior consultants, and contributing to upsell opportunities. The role requires advanced knowledge of BI/DW development methodologies, SQL, and experience with data engineering and analytics tools. Strong communication and project management skills are essential.
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.
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.
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.
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