Manager II, Technical Program Management, GenAI role at Uber AI Solutions. This senior, customer-facing leadership position involves managing and scaling a team of TPMs responsible for delivering complex AI training and evaluation services. The role requires partnering with various internal and external stakeholders to shape solutions, define delivery models, and ensure high-quality execution, with a strong emphasis on technical judgment, people leadership, and program delivery expertise in the AI model training and evaluation ecosystem.

Uber's Applied AI team is seeking a Staff ML Engineer to design, implement, and scale high-impact AI solutions, focusing on Generative AI, Computer Vision, and Personalization. The role involves leading technical projects, influencing ML system architecture, and collaborating cross-functionally to deliver AI-powered features from ideation to production.

Senior ML Engineer role focused on building and deploying production-ready ML systems, including generative AI, computer vision, and personalization, to power core Uber products. The role involves the full ML lifecycle from experimentation to monitoring and emphasizes delivering end-to-end AI solutions.

Senior ML Engineer at Uber's Applied AI team, focused on delivering end-to-end AI solutions for core business problems, including Generative AI, Computer Vision, and Personalization. The role involves building production-ready ML systems and infrastructure, from experimentation to deployment and monitoring, to power user and business-facing products.

Uber is seeking a Senior Machine Learning Engineer for their Customer Obsession team to design, develop, and productionize ML solutions for customer support. The role involves generative AI, agentic AI, NLP, and distillation techniques to enhance customer experience and achieve cost savings.

Senior ML Engineer role focused on building and productionizing ML models for Uber's Offers team, enhancing personalization and promotions. The role involves owning the end-to-end ML lifecycle, from data pipelines to low-latency serving, and collaborating cross-functionally to drive business impact.

Senior Machine Learning Engineer for Uber's Customer Obsession team, focusing on enhancing customer support experience and driving cost savings through ML solutions. The role involves designing, developing, and productionizing generative AI, agentic AI, and NLP models, with a strong emphasis on experimental design and collaboration.

Senior ML Engineer on the Content Platform team at Uber, focusing on building core ML capabilities for a customer support chatbot (Nova). The role involves improving response quality through observability, retrieval, ranking algorithms, and content strategies. Key responsibilities include defining observability and evaluation frameworks, developing retrieval and ranking algorithms (semantic search, RAG), building feedback loops, and collaborating with stakeholders to deliver production systems.