Software Engineer II - Machine Learning Engineer

About the role

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. 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.

Responsibilities

• 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.

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

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

Pay

For New York City, NY-based roles: USD $171,000 per year - USD $190,000 per year. For San Francisco, CA-based roles: USD $171,000 per year - USD $190,000 per year. For Seattle, WA-based roles: USD $171,000 per year - USD $190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of compensation.

Benefits

All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits, including bonuses, equity, and other compensation.

Schedule

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. Please ask your recruiter for details about this role's specific in‑office requirements.