Uber Senior Staff Machine Learning Engineer 

United States, West Virginia 

299399020

About the Role:

Leads efforts within the organization to drive the design, development, optimization, and productionization of ML or ML-based solutions and systems that are used to solve strategically important problems.

What the Candidate Will Do:

• Partner with cross-functional teams to optimize marketplace with ML.
• Identify gaps/opportunities and drive improvement of ML application in mission-critical business areas
• Design and productionize end-to-end ML solutions to tackle strategically important challenges in Uber's multi-sided marketplace

Basic Qualifications:

• BS or equivalent industry in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or related field.
• Minimum 7 years of experience in software development, design & architecture and launching software products.
• Experience in applying machine learning models to solve real-world problems.

Preferred Qualifications:

• Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or related field.
• Minimum 5 years of hands-on experience in developing machine learning or deep learning solutions for large-scale real-world problems.
• Minimum 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.
• Industry experience in one or more of the following - Personalization, User Understanding, Causal Inference, Reinforcement Learning.
• Proven track record of collaboration and leadership, and enthusiastic to take on new problems across the full-stack as we continue to push for innovations.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.