Staff Software Engineer - Engineer

Basic Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Engineering, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience.
• 8+ years of industry experience in machine learning, or 6+ years with a PhD or equivalent demonstrated technical depth.
• Significant experience building large-scale production ML systems, including online inference.
• Deep expertise in modern machine learning, including deep learning, reinforcement learning and the principles underlying decision-making under uncertainty.
• Demonstrated ability to formulate ambiguous business or system problems as tractable ML or decision problems and drive them from concept to production. Strong BE programming and systems skills, with the ability to personally design and implement production-quality ML and optimization systems.
• Experience leading technically complex, cross-functional initiatives and influencing engineering or scientific direction beyond an individual project.

Preferred Qualifications

• PhD in Machine Learning, Reinforcement Learning, Control, Optimization, Robotics, Operations Research, Statistics, or a closely related field.
• Deep experience with reinforcement learning, optimal control, or related sequential decision-making methods.
• Background in large-scale decision systems such as (two-sided) marketplace optimization, robotics/autonomy, ads optimization, ranking, or recommendation systems.
• Strong understanding of marketplace economics, incentives, behavioral responses, and the dynamics of two-sided platforms.
• Experience designing multi-objective or multi-agent decision systems with complex interactions and long-term effects.
• Experience with causal inference and rigorous online or offline evaluation of ML-driven policies.
• Experience with large-scale simulation environments for policy development and evaluation.
• Track record of introducing novel modeling or algorithmic approaches that materially improved a production system.

Responsibilities

• For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
• You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Ready to Ride?