IC Staff Software Engineer: AI/ML
About the Role:
Leads efforts within the organization to drive the design, development, optimization, and productionization of ML or ML-based solutions and systems that are used to solve strategically important problems. Has extensive experience and expertise in large scale Applied ML (Recommender systems, Search, Ads, Content relevance etc.) and Deep Learning who can work across charters and many partner teams. Staff Engineers at Uber are expected to have a deep impact on a wide variety of technology decisions, spanning many projects across an entire org, and in many cases multiple orgs.
About the Team:
The Eats Discovery team is responsible for the serving, ranking and end-to-end experience of search, browse, feed, menu, and all discovery personalization functionalities in Uber Eats, grocery, and all other new verticals. The team's mission is to craft a reliable, personalized and delightful discovery experience for all delivery occasions. As the world moves towards increased adoption of delivery services, we believe that effortless discovery will be one of the biggest product differentiators in the years to come. The Discovery group has 3 charters:
Relevance: Feed, menu and ordering-cart relevance, multi objective ranking Search: Query formulation, understanding, semantic search, search relevance Platform: Scalability, availability, app-responsiveness
Checkout some of our work here -
Minimum qualifications:
• PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 4-years full-time Software Engineering work experience OR 7-years full-time Software Engineering work experience, WHICH INCLUDES 4-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 4-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:
• Privacy aware/bias free/Interpretable ML• Personalization• Optimization (RL/Bayes/Bandits)• Recommender Systems
At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We've grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.
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 the 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. If you have a disability or special need that requires accommodation, please let us know by completing this form.