Uber is looking to solve the problem of enabling eaters to effortlessly make shopping decisions and find what they need via an ML-driven algorithmic approach
Requirements
- Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
- Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, , etc
- Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, Ray, etc
- Experience with building ranking and recommendation systems in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments
- Experience with design and architecture of ML systems and workflows
- Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact
- Experience owning and delivering a technically challenging, multi-quarter project end to end
Responsibilities
- Design and build Machine Learning models in Ranking and Recommendation domain
- Productionize and deploy these models for real-world application
- Review code and designs of teammates, providing constructive feedback
- Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product
Other
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience
- 4+ years of ML experience and building ML models
- Experience working with multiple multi-functional teams(product, science, product ops etc)
- Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone
- Participation in Uber's bonus program, and may be offered an equity award & other types of comp
