Develop and enhance ETA and Routing models to power Uber's Rides & Delivery Marketplace globally, providing accurate predictions across geographies, transportation modalities, and lines of business
Requirements
- Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
- Deep domain knowledge in ETA, Routing and/or Traffic modelling
- Hands-on experience in building and maintaining scalable backend systems and pipelines which serve model predictions
- Experience shipping production-grade deep learning models and optimization systems, and designing sophisticated experimentation techniques
Responsibilities
- Build next-generation Deep Learning models for ETA using advanced ML tools like pytorch, tensorflow, MLLib on Uber's Machine Learning Platform
- Own the entire modeling lifecycle end-to-end including feature creation, model development and testing, experimentation, monitoring and explainability, and model maintenance
- Develop and maintain Go/Java based backend systems that integrate with critical business workflows at Uber to provide fast ETA predictions at scale
- Participate & drive team's operational processes: regular service and model deployments, observability and system robustness improvements and oncall shifts
- Collaborate with applied scientists, engineers & product managers to drive solutions for open-ended business problems
- Ideate and design ETA/Routing centric solutions that unlock new lines of business for Uber
Other
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience or PhD with 2+ years of full-time engineering experience
- Growth mindset and a strong desire for customer & business impact
- Participate in oncall shifts
- Eligibility to participate in Uber's bonus program, and may be offered an equity award & other types of comp
- Eligibility for various benefits
