Uber's Marketplace Engineering team creates the technology behind our ridesharing marketplace by connecting riders with drivers at the push of a button. Our solutions expand user access, deliver reliability, and provide more transportation choices to users across our global markets.
About the Role
Partners with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve complex problems with multiple dependencies. This role also leads team efforts to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems.
About the Team
Prediction teams' mission is to ensure delightful customer experience by accurately estimating delivery times. Our main focus is ETD (Estimated Time of Delivery) accuracy, ETD experience and empowering Delivery growth by providing magic timeliness experience for new verticals (e.g. groceries, pharmacy, alcohol etc.). The impact of these predictions affect hundreds of millions of dollars of gross booking for the company.
Basic Qualifications
- PhD or equivalent in Computer Science, Engineering, Mathematics or related field OR 3-years full-time Software Engineering work experience, WHICH INCLUDES 2-years total technical software engineering experience in one or more of the following areas:
- Programming language (e.g. C, C++, Java, Python, or Go)
- Training using data structures and algorithms
- Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
- Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
- Note the 2-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.
Required
- Scalable ML architecture
- Feature management
Preferred Qualifications
- Deep Learning
For Colorado-based applicants: Please refer to this role in our careers page for more details on your total compensation and benefits package. You can get there by clicking 'apply' if you're not already on our careers site. #LI-Remote