Senior Machine Learning Engineer - ETA & Routing

Machine Learning Engineer

As a Machine Learning Engineer at Uber, you will play a pivotal role in developing and enhancing the ETA (Estimated Time of Arrival) and Routing models that power Uber's Rides & Delivery Marketplace globally. Accurate ETA and route predictions across geographies, transportation modalities and lines of business is fundamental for the company's operations and growth which makes this position both technically challenging and highly impactful. Your responsibilities will include building and productionizing deep learning models that provide accurate and scalable time predictions, thereby enhancing the customer experience for Uber's millions of users. You will own the entire modeling lifecycle, which encompasses feature creation, model development and testing, experimentation, monitoring, explainability, and ongoing model maintenance. You will also work on backend services that serve ETA and routing predictions at scale. This is also an opportunity to collaborate closely with an expert team of applied scientists, engineers, and product managers. If you have a growth mindset and a strong desire for customer & business impact, this is the ideal role for you!

What You Will Do

• 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.

Basic Qualifications

• 4+ years of industry experience (or 1+ year industry experience post PhD) of developing advanced machine learning models with business impact.
• Experience shipping production-grade deep learning models and optimization systems, and designing sophisticated experimentation techniques.
• Hands-on experience in building and maintaining scalable backend systems and pipelines which serve model predictions.

Preferred Qualifications

• M.S., or PhD. in Computer Science, Statistics, or other related quantitative fields.
• Deep domain knowledge in ETA, Routing and/or Traffic modelling.

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 program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link. Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.