Sr Machine Learning Engineer, Mobility Matching

$185,000 - $205,500/Yr

Uber - San Francisco, CA

Full-time - Mid Level

Remote - San Francisco, CA

Transit and Ground Passenger Transportation

About the position

The Sr Machine Learning Engineer for Mobility Matching at Uber is responsible for developing and optimizing algorithms and systems that facilitate real-time matching of drivers with riders. This role involves tackling complex problems and leveraging data to enhance the efficiency and reliability of the marketplace matching system, directly impacting the user experience for millions of Uber users globally.

Responsibilities

• Develop and optimize algorithms for real-time matching of drivers and riders.
• Leverage data to build systems and platforms that enhance marketplace efficiency.
• Work on complex problems related to supply and demand dynamics.
• Collaborate with the Matching and Driver Pricing teams to innovate and improve user experience.
• Contribute to systems that significantly increase revenue and reduce wasted time for drivers and users.

Requirements

• Proven experience in software engineering and machine learning.
• Strong programming skills in languages such as Python, Java, or C++.
• Experience with data analysis and algorithm development.
• Ability to work on complex problems and develop scalable solutions.
• Familiarity with marketplace dynamics and optimization techniques.

Nice-to-haves

• Experience in the mobility or transportation industry.
• Knowledge of real-time systems and distributed computing.
• Familiarity with cloud computing platforms such as AWS or Google Cloud.
• Experience with big data technologies like Hadoop or Spark.

Benefits

• Participation in Uber's bonus program.
• Eligibility for equity awards and other compensation types.
• Comprehensive health benefits.
• Paid time off and holidays.
• Opportunities for professional development.