Software Engineer II - Machine Learning Engineer

Build AI/ML-powered intelligence that helps improve grocery and food experiences for hundreds of millions of global users while working on scalable distributed systems. This Software Engineer II - Machine Learning Engineer role on Uber’s Consumer Incentives team combines end-to-end engineering with product impact across scoping, evaluation, experimentation, production, and post-launch support. The position is onsite in Seattle, WA.

Compensation: USD 171,000 - 190,000 per year (base).

About the Role and Team

The Consumer Incentives team operates across key business areas like grocery and food, supporting Uber’s growth and long-term profitability. The team builds products that create seamless, affordable, and enjoyable customer experiences through AI/ML-powered intelligence and sophisticated distributed systems designed to operate at scale.

Responsibilities

• Launch products that support key consumer experience goals and business outcomes
• Drive projects across the full lifecycle, including initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance
• Design, tune, and enhance systems and algorithms to function effectively at scale
• Collaborate with cross-functional partners across product management, operations, and data science

Requirements

• 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

Technologies

Python, Go, Java

Preferred Qualifications

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

Location and Office Requirements

Seattle, WA (onsite)

• Unless approved for full remote work, employees must spend at least 50% of their time in-office
• Some roles (such as those at greenlight hubs) require full-time in-office presence

For all US locations, you will be eligible to participate in Uber’s bonus program, may be offered an equity award and other types of comp, and full-time employees are eligible to participate in a 401(k) plan, along with various benefits.