Overview
On Site
USD 167,000.00 - 185,500.00 per year
Full Time
Skills
Art
Use Cases
Pricing
Collaboration
Mathematics
Statistics
FOCUS
Deep Learning
Optimization
Algorithms
PyTorch
TensorFlow
Machine Learning (ML)
Python
Java
C++
Apache Spark
Apache Hive
Apache Kafka
Apache Cassandra
Communication
Job Details
About the Role
The Marketplace Intelligence team acts as the brain to enable smart pricing experiences to improve consumer price perception so as to increase long term engagement. 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 machine learning models, and customize for Uber's use cases.
- Design and build the end-to-end large-scale ML systems to power the user facing marketplace experiences.
- Maintain existing ML models and optimize model performance
- Contribute to develop new models to serve production marketplace experience features and new pricing products.
- Collaborate with cross-functional and cross-team stakeholders.
\\-\\-\\-\\- Basic Qualifications ----
- PhD in relevant fields (CS, EE, Math, Stats, etc.) OR 2 years minimum of industry experience with strong focus on user facing machine learning applications
- 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++.
- Experience with any of the following: Spark, Hive, Kafka, Cassandra.
- Strong communication skills and can work effectively with cross-functional partners.
\\-\\-\\-\\- Preferred Qualifications ----
- Publications at industry recognized ML conferences.
- Experience in simplifying/converting business problems into ML problems.
- Experience developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability.
- PhD with specialization in machine learning, along with1-2 years industry experience in leading tech companies
For Sunnyvale, 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 [](;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 Marketplace Intelligence team acts as the brain to enable smart pricing experiences to improve consumer price perception so as to increase long term engagement. 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 machine learning models, and customize for Uber's use cases.
- Design and build the end-to-end large-scale ML systems to power the user facing marketplace experiences.
- Maintain existing ML models and optimize model performance
- Contribute to develop new models to serve production marketplace experience features and new pricing products.
- Collaborate with cross-functional and cross-team stakeholders.
\\-\\-\\-\\- Basic Qualifications ----
- PhD in relevant fields (CS, EE, Math, Stats, etc.) OR 2 years minimum of industry experience with strong focus on user facing machine learning applications
- 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++.
- Experience with any of the following: Spark, Hive, Kafka, Cassandra.
- Strong communication skills and can work effectively with cross-functional partners.
\\-\\-\\-\\- Preferred Qualifications ----
- Publications at industry recognized ML conferences.
- Experience in simplifying/converting business problems into ML problems.
- Experience developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability.
- PhD with specialization in machine learning, along with1-2 years industry experience in leading tech companies
For Sunnyvale, 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 [](;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.