Machine Learning Engineer II - ETA & Routing

Overview

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. If you have a growth mindset and a strong desire for customer & business impact, this is the ideal role for you!

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 the team's operational processes: regular service and model deployments, observability and system robustness improvements and on-call 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

• 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
• Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).

Preferred Qualifications

• 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.

For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.