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:
As a Staff Machine Learning Engineer on the Help Intelligence team (Uber Customer Obsession org), you help architect, implement, and maintain machine learning (ML), natural language process (NLP), Conversational AI (CovAI), and Search models that fits seamlessly to the highly-performant, low-latency, reliable, scalable distributed systems used by hundreds of millions of riders and eaters, millions of drivers and delivery partners every day. You will work closely with our internal stakeholders across all Uber business verticals: from Mobility (Driver, Rider), to Delivery, to Freight, and others. On the financial side of things, these lines of business bring in a total revenue of 65 billion dollars a year (2019)!
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

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world!
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together!
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.
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