About the role:
Engages with stakeholders across teams to lead the design, development, optimization, and productionization of machine learning (ML) or ML-based solutions and systems that are used to solve highly complex or vaguely defined problems. This role also leads efforts across teams to leverage and improve ML infrastructure for model development, training, deployment needs and scaling ML systems.
About the Team:
Founded in August 2014, Uber Eats has become the largest food delivery app globally, and is the fastest growing food delivery platform in the world. We have doubled our gross bookings in just over the last year!
Our team's work at Uber Eats directly impacts and continues to impact our communities. Uber Eats core teams are Restaurants, Couriers, Eaters, & Marketplace which support the exciting technical challenges of a 3-sided market. Uber's world-class engineers are empowered to push the envelope in scalability, distributed systems, mobile development, machine learning/personalization/recommendation systems, & development for drone delivery.
Come join us in our to be part of a thriving culture, while solving exciting problems at scale.
Minimum qualifications:

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time Software Engineering work experience, WHICH INCLUDES 3-years total technical software engineering experience in one or more of the following areas:

• Programming language (e.g. C, C++, Java, Python, or Go)
• Large-scale training using data structures and algorithms
• Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
• Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib

• Note the 3-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.

Technical skills:
Required:

• Deep Learning
• Scalable ML architecture
• Feature management

Preferred:

• Personalization