Top Machine Learning Jobs in Chicago, IL
The Sr. Applied Machine Learning Scientist will design and deploy advanced machine learning models for product discovery, utilizing technologies like NLP and computer vision while collaborating with ML scientists and engineers to integrate solutions into Grainger's platforms.
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As an AI Researcher at DRW, you will develop and test AI models and algorithms, construct data pipelines, evaluate model performance, and collaborate closely with your team. You will also stay informed on the latest AI techniques and contribute to improving research processes, all while receiving mentorship and participating in a robust training program.
As a Data Scientist for Machine Learning Operations at Enova, you will develop, enhance, and deploy software to build and deploy critical models. The role involves conducting ad hoc analyses, interpreting data, and communicating findings to cross-functional teams while maintaining tools for efficient model lifecycle management.
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As a Distinguished Engineer at Capital One, you will lead the development of machine learning solutions for banking. You will optimize model deployment and automation, mentor internal talent, and influence engineering practices across teams. You're expected to drive innovation and articulate a bold technical vision while collaborating with various stakeholders to achieve strategic objectives.
The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.
A Data and Analytics Staff Consultant contributes as a team member on consulting projects, with a focus on building technical skills and providing effective training and knowledge transfer to clients. They are responsible for creating high-quality project documentation, refining business and technical requirements, and collaborating with engagement leads and stakeholders. The role requires strong communication skills and the ability to articulate the business value of technical solutions delivered to clients.
As a Machine Learning Engineer, you will design, build, and iterate on large-scale Machine Learning systems, working closely with cross-functional teams to personalize user experiences at Dropbox. Your role will impact millions of users and involve evaluating the performance of ML systems against business objectives.
As a Senior Machine Learning Engineer, you will design, build, evaluate, and iterate on large scale machine learning systems, collaborating with cross-functional teams to enhance user experiences at Dropbox. Your work will directly impact the product and its millions of users, utilizing cutting-edge AI/ML advancements.
The Senior Staff Scientist will lead the development of hybrid AI applications optimized for various platforms, collaborate with teams to integrate quantum algorithms, and foster client relationships while representing the company at conferences. The role also includes discovering new algorithms and developing core intellectual property in quantum computing.
We're seeking a Senior Staff Software Engineer to drive the design of our LLM service and build APIs. Responsibilities include working on platform scalability, researching generative AI techniques, collaborating with cross-functional teams, and overseeing prompt engineering. A strong background in backend engineering and machine learning is essential.
As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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