Uber Staff Machine Learning Engineer - UberEats Feed 

United States, West Virginia 

825790673

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 Master in 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.