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23.06.2024
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Uber Senior Machine Learning Engineer United States, West Virginia
Design and build Machine Learning models with optimization engines. Productionize and deploy these models for real-world application. Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on...
Design, develop, and productionize machine learning (ML) solutions with optimization engines. Productionize and deploy these models for real-world application. Review code and designs of teammates, providing constructive feedback. Collaborate with...
PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 6-years full-time Software Engineering work experience OR 10-years full-time Software Engineering work experience, WHICH INCLUDES 6-years total technical...
Design and build end-to-end machine learning pipelines. Develop innovative pricing models. Collaborate with cross-functional teams. Master's or Ph.D. in Computer Science, Statistics, or a related field. Minimum 5 years of...
What you'll do:\ * Lead the design, development, optimization, and productization of machine learning (ML) solutions and systems that are used to solve strategically important or vaguely defined problems.\ *...
Code : Writes high-quality code (i.e., reliable, readable, efficient, testable), provides quality code reviews, and creates comprehensive tests and quality documentation using software engineering principles. This includes knowledge of data...
Collaborate with product teams to analyze key business problems and develop innovative ML solutions. Collaborate with data science and engineering teams to integrate and validate ML solutions end-to-end. Deliver enduring...
Design and build Machine Learning models with optimization engines. Productionize and deploy these models for real-world application. Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on...
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.