Overview
On Site
USD 223,000.00 - 248,000.00 per year
Full Time
Skills
Art
Use Cases
Mathematics
Statistics
Research
FOCUS
Deep Learning
Optimization
Algorithms
PyTorch
TensorFlow
Python
Java
C++
Publications
Apache Spark
Apache Hive
Apache Kafka
Apache Cassandra
Communication
Machine Learning (ML)
Law
Legal
Collaboration
Job Details
About the Role
The UberEats Feed is the front door to our service. It serves an important role for both users and merchants. For our users, the Feed helps them find a great restaurant or grocery store for their needs. It also serves as an important gateway for them to explore the breadth and depth of UberEats's selection. For merchants, it is the main surface for which they get in front of potential customers to showcase their products. As a Machine Learning Engineer in this role, you will be able to work on various open-ended, challenging, impactful problems.
What the Candidate Will Do:
- Innovate and productionize start-of-the-art recommendation models, and customize them for Uber's use cases.
- Design and build the end-to-end large-scale ML systems to power Home Feed recommendation systems.
- Lead research and design of new recommendation algorithms and systems.
- Collaborate with cross-functional and cross-team stakeholders to solve open-ended user and technical problems.
- Lead a team of strong machine learning engineers and xfn to deliver high-impact projects.
- Drive the long-term technical vision for the team in a specific recommendations domain.
- Drive cross-team initiatives with org level impact.
Basic Qualifications:
- PhD or Masterin relevant fields (CS, EE, Math, Stats, etc.) with recommendation system research experiences and 8 years minimum of industry experience with a strong focus on machine learning and recommendation systems.
- Expertise in deep learning, recommendation systems, or optimization algorithms.
- Experience with ML frameworks such as PyTorch and TensorFlow.
- Experience building and productionizing innovative end-to-end Machine Learning systems.
- Proficiency in one or more coding languages such as Python, Java, Go, or C++.
Preferred Qualifications:
- Publications at industry recognized ML conferences.
- Experience with any of the following: Spark, Hive, Kafka, Cassandra.
- Strong communication skills and can work effectively with cross-functional partners.
- Experience in simplifying/converting business problems into ML problems.
- Experience designing and developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability.
- Experiences leading projects with org-level impact.
For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
For all US locations, 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 [](;br>
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](;br>
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.
The UberEats Feed is the front door to our service. It serves an important role for both users and merchants. For our users, the Feed helps them find a great restaurant or grocery store for their needs. It also serves as an important gateway for them to explore the breadth and depth of UberEats's selection. For merchants, it is the main surface for which they get in front of potential customers to showcase their products. As a Machine Learning Engineer in this role, you will be able to work on various open-ended, challenging, impactful problems.
What the Candidate Will Do:
- Innovate and productionize start-of-the-art recommendation models, and customize them for Uber's use cases.
- Design and build the end-to-end large-scale ML systems to power Home Feed recommendation systems.
- Lead research and design of new recommendation algorithms and systems.
- Collaborate with cross-functional and cross-team stakeholders to solve open-ended user and technical problems.
- Lead a team of strong machine learning engineers and xfn to deliver high-impact projects.
- Drive the long-term technical vision for the team in a specific recommendations domain.
- Drive cross-team initiatives with org level impact.
Basic Qualifications:
- PhD or Masterin relevant fields (CS, EE, Math, Stats, etc.) with recommendation system research experiences and 8 years minimum of industry experience with a strong focus on machine learning and recommendation systems.
- Expertise in deep learning, recommendation systems, or optimization algorithms.
- Experience with ML frameworks such as PyTorch and TensorFlow.
- Experience building and productionizing innovative end-to-end Machine Learning systems.
- Proficiency in one or more coding languages such as Python, Java, Go, or C++.
Preferred Qualifications:
- Publications at industry recognized ML conferences.
- Experience with any of the following: Spark, Hive, Kafka, Cassandra.
- Strong communication skills and can work effectively with cross-functional partners.
- Experience in simplifying/converting business problems into ML problems.
- Experience designing and developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability.
- Experiences leading projects with org-level impact.
For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.
For all US locations, 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 [](;br>
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](;br>
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.