Staff Machine Learning Engineer - Marketplace Pricing

Staff Machine Learning Engineer - Marketplace Pricing

Join to apply for the Staff Machine Learning Engineer - Marketplace Pricing role at Uber

Staff Machine Learning Engineer - Marketplace Pricing

2 days ago Be among the first 25 applicants

Join to apply for the Staff Machine Learning Engineer - Marketplace Pricing role at Uber

Get AI-powered advice on this job and more exclusive features.

About The Role

Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions / second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.

About The Role

Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions / second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.

We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.

What You Will Do

• Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence
• Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
• Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

Basic Qualifications

Preferred Qualifications

For New York, NY-based roles : The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles : The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles : The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles : The base salary range for this role is USD$223,000 per year - USD$248,000 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. You will also be eligible for various benefits. More details can be found at the following link https : / / www.uber.com / careers / benefits.

Seniority level

Seniority level

Not Applicable

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Industries

Internet Marketplace Platforms

Referrals increase your chances of interviewing at Uber by 2x

Get notified about new Machine Learning Engineer jobs in Seattle, WA .

Bellevue, WA $130,000.00-$200,000.00 2 weeks ago

Seattle, WA $99,500.00-$187,000.00 2 weeks ago

Seattle, WA $100,000.00-$220,000.00 5 months ago

Software Developer-Artificial Intelligent / Machine Learning

Seattle, WA $158,200.00-$185,000.00 4 weeks ago

Redmond, WA $100,600.00-$258,000.00 2 weeks ago

Bellevue, WA $130,000.00-$170,000.00 1 month ago

Seattle, WA $112,725.00-$177,840.00 1 week ago

Seattle, WA $176,600.00-$225,900.00 5 days ago

Data Scientist – AI / ML Recommendations & Personalization

Redmond, WA $100,600.00-$215,400.00 2 weeks ago

Software Engineer - AI / ML, Multiple Locations

Redmond, WA $84,200.00-$180,400.00 1 week ago

Machine Learning Engineer, Payments ML Accelerator

Seattle, WA $212,000.00-$318,000.00 1 week ago

Machine Learning Engineer, Monetization Engineering

Redmond, WA $100,600.00-$215,400.00 1 week ago

Seattle, WA $167,000.00-$185,500.00 3 weeks ago

Redmond, WA $100,600.00-$215,400.00 2 weeks ago

Redmond, WA $100,600.00-$215,400.00 1 week ago

Redmond, WA $100,600.00-$215,400.00 2 weeks ago

Redmond, WA $100,600.00-$215,400.00 2 weeks ago

Machine Learning Engineer, Core Engineering

Seattle, WA $140,000.00-$220,000.00 1 month ago

Bellevue, WA $145,000.00-$204,000.00 3 days ago

Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI)-2025 Start (BS / MS)

Seattle, WA $112,725.00-$177,840.00 6 days ago

Seattle, WA $147,000.00-$259,000.00 2 weeks ago

Seattle, WA $112,725.00-$177,840.00 1 week ago

Bellevue, WA $147,000.00-$259,000.00 2 weeks ago

Seattle, WA $100,000.00-$720,000.00 2 weeks ago

Bellevue, WA $129,300.00-$223,600.00 4 days ago

Machine Learning Engineer, Forecast Platform

Software Engineer, Machine Learning (All levels)

Seattle, WA $120,000.00-$300,000.00 4 days ago

Bellevue, WA $71,200.00-$127,200.00 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr