Uber Senior Software Engineer - Machine Learning / Optimization 

United States, West Virginia 

876511068

About the Role

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

• Design and build end-to-end machine learning pipelines
• Develop innovative pricing models
• Collaborate with cross-functional teams

- - - - Basic Qualifications ----

• Master's or Ph.D. in Computer Science, Statistics, or a related field.
• Minimum 5 years of experience in industry with a strong focus on machine learning and optimization.
• Proven experience in designing, building, and deploying machine learning models at scale.
• Strong understanding of statistical analysis and feature engineering techniques.
• Excellent communication and collaboration skills.
• Ability to work independently and take ownership of projects.
• Empathy for users; passion for transportation and the impact of technology on the industry.

- - - - Preferred Qualifications ----

• Experience with deep learning and transformers techniques.
• Experience building or initiating data-driven / optimization-driven products
• Experience working in a fast-paced, agile environment.

For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 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 .