Uber Staff Machine Learning Engineer - Marketplace Matching 

United States, West Virginia 

937739958

What You Will Do:

1. Lead the design, development, optimization, and productionization of machine learning (ML) solutions for complex and high-impact problems.
2. Build ML solutions to improve Uber’s marketplace efficiency while ensuring seamless, high-quality user experiences in real-world applications.
3. Review code and designs of teammates, providing constructive feedback.
4. Lead cross-functional collaborations across product, engineering, and science teams to drive system development from ideation to production.

Basic Qualifications:

1. PhD or equivalent experience in Computer Science, Engineering, Mathematics or related field
2. 5+ years of industry experience as an Applied Scientist/Machine Learning Engineer.
3. Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design.
4. Experience working with cross-functional teams(product, science, product ops etc).
5. Proficiency in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).

Preferred Qualifications:

1. 7+ years of industry experience in machine learning, including building and deploying ML models.
2. Experience in modern deep learning architectures and probabilistic modeling.
3. Expertise in the design and architecture of ML systems and workflows.
4. Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, and multi-armed bandits.

For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year.