Uber is looking to solve the problem of optimizing its marketplace by making difficult trade-offs, blending algorithms with human resourcefulness, and building simplicity from complexity to create a cost-efficient marketplace for matching supply and demand.
Requirements
- PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
- 4 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling
- Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++)
- Experience with any of the following: Spark, Hive, Kafka, Cassandra
- Experience building and productionizing innovative end-to-end Machine Learning systems
- Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
- Experience working with cross-functional teams(product, science, product ops etc)
Responsibilities
- Build statistical, optimization, and machine learning models
- Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend
- Optimize Uber's background check spend and onboarding funnel
- Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
- Develop matching algorithms for driver to driver mentorship program
- Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
- Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
Other
- Accommodations may be available based on religious and/or medical conditions, or as required by applicable law
- Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office
- For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time
- To request an accommodation, please reach out to accommodations@uber.com
- You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp
