Top Remote Machine Learning Jobs in Chicago, IL
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.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, empower teams to optimize decision pipelines, experiment with modeling techniques on customer data, partner cross-functionally with finance, product, and engineering teams.
Seeking a Deep Learning Research Scientist to create novel deep learning systems with a focus on open source projects. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, and advancing the research agenda. Must have a master's degree in Computer Science or related, 5+ years of deep learning experience, strong background in deep learning theory and techniques, and proficiency in Python.
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.
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.
Featured Jobs
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.
The Senior Engineering Manager will lead a team of engineers to build Dropbox's AI offering, Dash. They will drive product monetization, foster operational excellence, and provide strategic direction for scaling.
As a machine learning engineer, you will work on a large-scale machine learning system, contribute to recommender systems, and continuously improve solutions.
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.
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