Machine Learning Engineer

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. Basic Qualifications Preferred Qualifications

• 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.
• 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.
• 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 https://www.uber.com/careers/benefits.