Top Machine Learning Jobs in Chicago, IL
Design and build batch and real-time inference services and tooling, facilitate modelers, develop prototypes, and influence team culture in a global financial crimes technology team using Machine Learning and Generative AI at Cash App.
Play a major role in building AI and Machine Learning solutions to enhance user experience and workflow efficiency for enterprise services. Collaborate with a team to develop intelligent software solutions using advanced technologies. Participate in data acquisition, requirements, and evaluation to ensure performance and quality at scale.
Experience in quality assurance and application development. Strong test automation skills in Java/Python. Hands-on experience testing large-scale production systems. Familiarity with testing AI/ML models and evaluation of model quality. Create comprehensive test plans, execute, and automate them. Support engineering teams in troubleshooting issues.
As an Applied Machine Learning engineer at Atlassian, you will work on the development and implementation of cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products and services. Responsibilities include designing system and model architectures, conducting rigorous experimentation, and applying AI/ML to improve product problems.
Featured Jobs
Manager of Applied Machine Learning to build ML models for customer insights and sales effectiveness. Work with product managers, engineers, and data scientists to create scalable ML solutions. Requires a Master's degree and experience in machine learning, cloud-based technologies, and data analytics.
Looking for a Senior Machine Learning Engineer to join our team in building and scaling our platform for access control and office automation. Responsibilities include building tools and data pipelines, optimizing algorithms, collaborating with cross-functional teams, conducting research, and generating patents or publications. Qualifications include a graduate degree in CS or a relevant field, 2+ years of industry experience, expert knowledge of C++ and/or Python, and experience in speech recognition.
Join Dropbox as a Senior Machine Learning Software Engineer to shape the future direction of the organization and innovate at scale. Collaborate with cross-functional teams to build large-scale Machine Learning systems and personalize user experiences.
Seeking a Staff Machine Learning Engineer/Architect to lead the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing AI architectures, frameworks, and algorithms, evaluating AI technologies, collaborating across teams, and deploying ML systems in production.
Senior AI/ML Engineer responsible for building AI & ML platforms and solutions for financial services and insurance. Develops data into usable information to create automated analytics solutions. Requires expertise in rapidly deploying AI & ML solutions in a DevOps environment, coding fluency in Python, R, or Java, experience with Kubeflow, Airflow, Docker, and Spark, and proficiency in data preprocessing, cleaning, and data visualization.
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.
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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