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Senior Machine Learning Engineer jobs at Uber

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541 jobs found
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Uber Senior Associate Global Sales Operations United States, West Virginia

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Analyze commercial performance trends across global Delivery verticals to generate actionable insights that influence sales strategy, operations, and planning. Design and build scalable reporting solutions (dashboards, datasets) to empower decision-making...
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Uber Senior Manager Claims Management Partner Oversight United States, West Virginia

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Consulting and Advisory : You and your team will provide expert consultation to external insurance partners on the best practices for commercial auto claims handling, primarily bodily injury, underinsured and...
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Uber Sr Software Engineer - Web Platform United States, West Virginia

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About the role:For San Francisco, CA based roles: The base salary range for this role is USD$198,000 per year USD$220,000 per year.You will be eligible to participate in Uber's bonus...
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Uber Staff Software Engineer Web Frontend - Mobility Verticals United States, West Virginia

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As a frontend engineer, own our latest products from inception to delivery at the Uber scale. Work closely with stakeholders to understand business requirements and build cross-functional solutions. Design and...
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Uber Software Engineer - Full Stack United States, West Virginia

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Analyze commercial performance trends across global Delivery verticals to generate actionable insights that influence sales strategy, operations, and planning. Design and build scalable reporting solutions (dashboards, datasets) to empower decision-making...
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Uber Learning Design Production Manager United States, West Virginia

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People Leadership and Coaching: Inspire and develop a high-performing team through effective coaching, clear communication, and a strong focus on engagement and morale. Capacity Planning and Resource Management: Own capacity...
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Uber Senior Operations Manager LATAM United States, West Virginia

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Problem Solving & Strategy: Use logic, data, and root-cause analysis to solve complex issues and prioritize impactful initiatives with clear timelines. Project & Stakeholder Management: Lead cross-functional projects, define goals,...
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As a Senior Machine Learning Engineer at Uber, you will be responsible for designing and building the automation solutions that power the company’s core products. You will be among the technical experts driving advances in machine learning technology, algorithms, and cloud computing that are revolutionizing the way Uber delivers its services. You have the opportunity to participate in designing new and creative models to identify patterns, discover correlations, and to generate actionable insights from data that are used to improve user experiences, business decisions, and optimize organizational functions. You have the hands-on experience to define and build end-to-end ML solutions for a variety of services from training the models to production deployment. In this position, you will be responsible for understanding the various types of data sciences and machine learning approaches, and creating production-ready models that meet business goals. You will have the ability to collaborate with a team of data scientists, software engineers, and product managers to ship top-tier ML solutions. You will be working in a fast-paced environment with tight timelines, and have the drive and ability to implement successful machine learning experiments. You will be able to demonstrate knowledge of various ML strategies and best practices, as well as have the ability to design robust ML architectures and pipelines. You must have strong problem-solving and creative thinking skills, as well as excellent communication and collaboration skills. The ideal candidate would also be proficient in Python/R/C++ and related ML libraries, have knowledge of the AWS/GCP stack as well as the ability to work with a variety of data. This position offers the opportunity to be part of a culture of innovation and perform meaningful work that has the potential to truly transform the company as well as the world as a whole. We look forward to hearing from you and invite you to join the team in powering innovation and pushing the boundaries of technology.