About the team:
Search is at the core of Uber products. It is how riders find where they want to go, how drivers find destinations for breaks, and how we connect riders and drivers in the last hundred meters of the pickup experience. The Maps team is building a geospatial search engine which will power rides and deliveries globally powering both text based and location based searches for all of Uber's businesses. We collaborate with research scientists, machine learning engineers, product engineers and external partners to deliver the best possible results for our users.
What you'll do:
• Lead the development of our search engine with a focus on deep learning and other ML techniques to improve our search experience.• Build close relationships with other technical organizations at Uber and ensure that geospatial search is at the cutting edge of technology and research.• Mentor and support the career growth of individual contributors.• Contribute to engineering-wide initiatives with a focus on search and personalization.
About the role:
As a senior technical contributor, you will help set the technical vision and work across the broader technical organization to bring that vision to life. Although you will be one of our highest levels of senior engineers and set the overall direction for how we do search at Uber, all individual contributors at Uber are Software Engineers who contribute code and are hands-on. You will lead efforts within the Maps organization and across Uber to drive the design, development, optimization, and productionalization of our Search technology. You will focus on leveraging ML or ML based solutions and system to make Uber's geospatial search the best in the market.
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:
• Modern machine learning algorithms (e.g. tree-based technique, supervised, deep or probabilistic learning)• Building scalable and low latency architectures• At least 4 years software engineering experience
Preferred:
• Privacy aware/bias free/Interpretable ML• Personalization• Experience building search specific models (query understanding, spell correction, ranking, etc.)
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.