Minimum qualifications:- Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 1+ years of full-time engineering experience.
- Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
- Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone.
- Experience with any of the following: Spark, Hive, Kafka, Cassandra.
- Note the 1-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.
Technical skills:Preferred:
- 4+ years of industry experience in applied ML systems, or a Ph.D. and 2+ years of industry experience.
- Experience with building algorithmic solutions 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 owning and delivering a technically challenging, multi-quarter project end to end.
- Passion to use machine learning to empower Uber products.
What will you do:- Design and implement a backend system to enable personalized support for millions of Uber users.
- Utilize advanced Machine Learning and AI algorithms to innovate within Uber's personalized support systems.
- Collaborate with team engineers to resolve product ambiguities.
- Contribute to team efforts in enhancing the support experience through technical innovation and problem-solving.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .