Sr Machine Learning Engineer - Consumer Incentives

Uber
San Francisco, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$202,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Distributed Systems Python (Programming Language) Machine Learning Information Technology Machine Learning Operations

Job description

Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber’s growth and long-term profitability. We build 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.

Requirements

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

Benefits & conditions

In this role, you will build products powered by scalable distributed systems and advanced AI solutions. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:

  • 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., For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 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 comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

Ready to Ride?

This isn’t the kind of place where you follow a playbook - it’s where you help write one. If you’re driven by impact, energized by challenge, and ready to shape how the world moves - we’d love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits. (https://jobs.uber.com/en/benefits/)

Apply for this position

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