Sr Machine Learning Engineer - Consumer Incentives

The Sr Machine Learning Engineer role on Uber’s Consumer Incentives team focuses on AI-powered optimizations and scalable distributed systems that enhance consumer experiences across verticals such as grocery and food. The position supports end-to-end machine learning work, from scoping and offline evaluation through production deployment and post-launch maintenance.

Key Responsibilities

• Architect and launch products that drive key consumer experience and business outcomes.
• Own full project lifecycles, including initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
• Design, tune, and continuously improve systems and algorithms to perform reliably at scale.
• Collaborate with cross-functional partners across product management, operations, and data science.

Required Qualifications

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics, or a related field, plus 4+ years of full-time engineering experience.
• Proficiency in at least one programming language, such as Python, Go, or Java.
• Experience building and productionizing end-to-end machine learning systems.
• Strong communication skills and the ability to work effectively with cross-functional partners.
• Demonstrated ownership mindset to drive projects end-to-end.

Technologies

• Python
• Go
• Java

Preferred Qualifications

• Track record of designing and delivering large-scale consumer products.
• Leadership experience, including mentoring and guiding junior engineers.
• Experience with experimental design and causal inference.

Compensation

Salary range: USD 202,000 - 224,000 per year.

Location: New York, NY (onsite).

Benefits

• Eligibility to participate in Uber’s bonus program (for all US locations).
• May be offered an equity award and other types of compensation (for all US locations).
• 401(k) plan eligibility for all full-time employees.
• Eligibility for various additional benefits.

Work Location Expectations

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 details specific to this role, ask your Recruiter.

Education

Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field.