Top Senior Level 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.
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.
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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.
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.
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.
As a Senior Machine Learning Engineer at Grainger, you will play a central role in evolving and expanding machine learning infrastructures to enhance the customer journey. Your responsibilities include deploying and maintaining ML systems at scale, designing data pipelines, and collaborating with data scientists to deliver business impact through ML products.
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.
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.
Build product features powered by machine learning on top of unique, proprietary datasets. Focus on NLP and large language models. Collaborate with product managers and engineers to prototype, build, and release features. Write production python code and deploy microservices.
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