Software Engineer II - Machine Learning Engineer

About the role and team

Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We deliver products that create seamless, affordable, and enjoyable customer experiences by building AI/ML-powered intelligence and sophisticated distributed systems at scale for hundreds of millions of global users.

What you'll do

In this role, you will build products powered by advanced AI/ML solutions and scalable distributed systems. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include: * Launching products to power key consumer experience and business outcomes. * Driving projects across full lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance. * Designing, tuning, and enhancing systems and algorithms to operate at scale. * Partnering with cross-functional stakeholders across product management, operations, and data science.

Basic Qualifications

* 3+ years of experience in an AI/ML/optimization role, or a PhD in a relevant field (CS, OR, EE, Statistics, etc.) * Proficiency in at least one programming language such as Python, Go, or Java * Strong communication skills and ability to work effectively with cross-functional partners * Strong sense of ownership to drive projects end-to-end

Preferred Qualifications

* Experience in designing and delivering large-scale consumer products * Experience in developing, evaluating, and deploying ML models & algorithms in production Experience in experimental design and causal inference *

For New York City, NY-based roles: The base salary range for this role is USD $171,000 per year - USD $190,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD $171,000 per y