Uber Machine Learning Engineer II 

United States, West Virginia 

1883059

About the Role

- - - - What the Candidate Will Do ----

1. Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).
2. Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
3. Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.
4. Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.

- - - - Basic Qualifications ----

1. B.S. in Statistics, Mathematics, Computer Science, or Machine Learning
2. 2 years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
3. Strong problem-solving skills, with expertise in ML methodologies
4. Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
5. Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java

- - - - Preferred Qualifications ----

1. 3+ years of experience in software engineering specializing in applied ML methods
2. Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods.
3. Detail-oriented, ownership and truth-seeking mindset.
4. Values and produces analytic evidence and insight, as well as applying them to improve technical solutions.
5. 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
6. Master’s degree in Computer Science, Engineering, Mathematics or related field

For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.