Uber is looking to solve the problem of helping millions of riders find and discover the right products every hour to move around the world, and power smart and intuitive experiences for them, which contributes tremendously to business growth.
Requirements
- MS or equivalent experience in Computer Science, Engineering, Mathematics or related field
- 3+ years of experience in software engineering with an emphasis on data-driven methodologies and online experimentation
- Strong problem-solving skills, with expertise in ML methodologies
- Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech,search, recommendation systems, ranking/retrieval, or representation learning)
- Industry experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java
- Background in search, recommendation systems, ranking/retrieval, or representation learning is highly desirable.
- Hands on experience with Deep Neural Networks, Transformers, etc
Responsibilities
- Defining and driving ML solutions for key strategic problems in the space of product recommendations and merchandising: help riders find and complete rides with the right products, trying to understand their intent and context while attending to Uber's business goals, marketplace conditions and efficiencies.
- Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough and precise monitoring.
- Provide technical leadership to a passionate, experienced, and diverse engineering team. Manage project priorities, deadlines and deliverables and design, develop, test, deploy and maintain ML solutions.
- Partner with product owners, data scientists and business teams to translate key insights and business opportunities into technical solutions
Other
- MS or equivalent experience in Computer Science, Engineering, Mathematics or related field
- 3+ years of experience in software engineering
- Strong communication & leadership skills
- 2+ years of experience working in a cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies
- Passionate about helping junior members grow by inspiring and mentoring engineers
