Deliver cutting-edge AI solutions for core business problems at Uber
Requirements
- 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
- Prior experience working with generative AI (e.g., LLMs, diffusion models) or multimodal AI and integrating such technologies into end-user products
- Exposure to audio ML and voice AI (STT, TTS, voice embeddings, etc.)
Responsibilities
- Solve business-critical problems using a mix of generative AI, classical ML, and deep learning
- Build generative AI applications (e.g., conversational assistants, text summarization, multimodal experiences) using large language models and related architectures
- 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
Other
- Master or PhD or equivalent experience in Computer Science, Engineering, Mathematics or a related field and 2+ years of Software Engineering work experience
- 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
