Rider Experience team at Uber is looking to solve the problem of enhancing rider experience through personalized recommendations and tailored services, which contributes to business growth and mobility reliability
Requirements
- Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
- 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
- Experience with deep-learning techniques, having worked with embeddings and transformer architectures
- Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods
- Multi-task and transfer learning, multi-armed bandits, and collaborative filtering for multi-objective optimization
- Classification, regression, and multi-task learning
Responsibilities
- Defining and driving ML solutions for key strategic problems in the space of product recommendations and merchandising
- 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
- Raise the bar of ML engineering by improving best practices, producing exemplary code, documentation, automated tests and thorough & precise monitoring, and applying model debugging & interpretation techniques
- Partner with product owners, data scientists and business teams to translate key insights and business opportunities into technical solutions
- Classification, regression, and multi-task learning are in our toolbox
- Designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods
Other
- Bachelor's degree in Computer Science, Engineering, Mathematics or related field
- 3+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
- Strong problem-solving skills, with expertise in ML methodologies
- Passionate about helping junior members grow by inspiring and mentoring engineers
- Resilience, determination, ownership mindset
