About the Role 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 What the Candidate Will do Solve business-critical problems using a mix of classical ML deep learning and generative AI Collaborate with product science and engineering teams to execute on the technical vision and roadmap for Applied AI initiatives Deliver high-quality production-ready ML systems and infrastructure from experimentation through deployment and monitoring Adopt best practices in ML development lifecycle e g data versioning model training evaluation monitoring responsible AI Deliver enduring value in the form of software and model artifacts What the Candidate Will Need 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 Bonus Points if Prior experience working with generative AI e g LLMs diffusion models and integrating such technologies into end-user products Experience in up-to-date deep learning architectures and probabilistic models Machine Learning Computer Science Statistics or a related field with research or applied focus on large-scale ML systems