Sr Machine Learning Engineer - Consumer Incentives

1. Job Overview:

Uber — Consumer Incentives (Sr Machine Learning Engineer - Consumer Incentives)

About the company and team: Uber's Consumer Incentives team operates across key business areas like grocery and food and drives Uber's growth and long-term profitability. The team builds products that power seamless, affordable, and enjoyable customer experiences by building sophisticated distributed systems and AI-powered optimizations to scale products for hundreds of millions of global users.

Why join us: This role offers the opportunity to write new playbooks rather than follow them, to have impact at scale across consumer verticals, and to shape how the world moves. You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Offices remain key to collaboration and Uber's culture; unless approved for full remote work, employees must spend at least 50% of their time in-office.

Role purpose: You will build products powered by scalable distributed systems and advanced AI solutions to optimize user experiences across multiple verticals such as grocery and food, while fostering sustainable business growth.

2. Key Responsibilities:

• Architecting and launching products to power key consumer experience and business outcomes.
• Overseeing full project 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.

3. Required Qualifications:

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field.
• 4+ years of full-time engineering experience.

4. Required Skills:

• Proficiency in at least one programming language such as Python, Go, or Java.
• Experience in building and productionizing innovative end-to-end ML systems.
• Strong communication skills and ability to work effectively with cross-functional partners.
• Strong sense of ownership to drive projects end-to-end.

5. Preferred Qualifications:

• Track record of designing and delivering large-scale consumer products.
• Demonstrated leadership skills, with experience in mentoring and guiding junior engineers.
• Proven experience in experimental design and causal inference.

6. Experience Requirements:

• 4+ years of full-time engineering experience.

7. Additional Job Information:

• Employment type: Full time (Schedule: Full time, Level 5).
• Work mode: Offices remain key to collaboration; unless approved for full remote work, employees must spend at least 50% of their time in-office (Hybrid).
• Employer-provided locations: San Francisco, CA; New York City, NY; Seattle, WA (United States).
• Compensation notes provided by employer: For New York City, San Francisco, and Seattle roles, the base salary range for this role is USD $202,000 per year - USD $224,000 per year. For all US locations, eligibility to participate in Uber's bonus program; may be offered an equity award & other types of compensation. All full-time employees are eligible to participate in a 401(k) plan and various benefits.
• Application / other instructions from employer: Ask your Recruiter for details about this role's requirements. If you have a disability or special need that requires accommodation, please let Uber know by completing the employer-provided form referenced in the posting.