This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Applied AI is a horizontal AI team at Uber collaborating with business units across the company to deliver cutting-edge AI solutions for core business problems. We work closely with engineering, product and data science teams to understand key business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Generative AI, Computer Vision, and Personalization. We are looking for a strong Senior ML engineer to be a part of a high-impact team at the intersection of classical machine learning, generative AI, and ML infrastructure. In this role, you’ll be responsible for delivering Uber’s next wave of intelligent experiences by building ML solutions that power core user and business-facing products.
Job Responsibility:
Build ML solutions to solve business needs across the Rider organization with over 300+ engineers
Address the under-supply problem and reduce the pickup ETA
Improve the overall experience of the Riders at the Reserve
Provide effective ETR for Drivers when they take Intercity trips
Requirements:
Master or PhD or equivalent experience in Computer Science, Engineering, Mathematics or a related field and 2 years of Software Engineering work experience, or 5 years Software Engineering work experience
Experience in programming with a language such as Python, C, C++, Java, or Go
Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn
Experience with SQL and database systems such as Hive, Kafka, and Cassandra
Experience in the development, training, productionization and monitoring of ML solutions at scale
Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems
Excellent problem-solving and analytical abilities
Proven ability to collaborate effectively as a team player