About the Role
The Location Search & Semantics team builds and maintains cutting edge ML systems to power Map Search & Recommendation at scale across Uber apps - pickup and destination search in the Rider app, dropoff search in Eats & Connect apps, Off-Trip navigation search in the Earner app etc.
The team leverages large language models and other cutting edge deep learning techniques to serve the most relevant places and address recommendations to users. As an ML engineer in the team, you will be working with some of the best minds in the industry to solve challenging ML problems at scale to provide magical map search experience to riders booking trips and eaters ordering food in the Uber platform.
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---- What You Will Do ----
- Lead the design, development, optimization, and productionization of machine learning (ML) solutions and systems to solve strategically important and/or vaguely defined problems.
- Build and improve ML/DL models for location search and location semantics platform.
- Provide technical leadership and direction to fellow software & ML engineers in the team
---- Basic Qualifications ----
- PhD or equivalent experience in Computer Science, Engineering, Mathematics or a related field and 5 years of ML engineering industry experience.
- Experience in developing, training, productionizing and monitoring of ML/DL solutions at scale using packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
- Experience building ETL and data pipelines using Spark, Hive, HDFS or related technologies.
- Experience in programming with modern languages such as Python, Java, or Go.
---- Preferred Qualifications ----
- Experience developing Search and Recommendation systems at scale.
- Well versed in translating open ended problem statements into well defined ML design
- Experience working with large-scale distributed systems.
- Experience working as a Technical lead for a small team of engineers.
For Canada-based roles: The base salary range for this role is CAD$182,000 per year - CAD$202,000 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 https://www.uber.com/careers/benefits.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
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.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.