
About Uber
Reimagining transportation for a better world
Key Highlights
- Public company (NYSE: UBER) since May 2019
- Completed over 1.5 billion trips globally
- Generated $4.8B in revenue from Uber Eats in 2020
- Raised $15.8 billion in funding
Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...
🎁 Benefits
Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...
🌟 Culture
Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...
Skills & Technologies
Overview
Uber is hiring a Senior Machine Learning Engineer for their Marketplace Pricing team to develop advanced ML models and pricing algorithms. You'll work with technologies like deep learning and reinforcement learning in New York. This position requires a strong background in machine learning and large-scale systems.
Job Description
Who you are
You have a strong background in machine learning with a focus on building large-scale systems that optimize multi-sided real-time marketplaces. With 5+ years of experience in machine learning engineering, you've successfully led the design and productionization of end-to-end ML solutions. Your expertise includes deep learning, causal modeling, and reinforcement learning, allowing you to tackle complex marketplace problems effectively.
You thrive in collaborative environments, working closely with engineers, product managers, and scientists to set technical direction and solve challenging business problems. Your ability to communicate complex ideas clearly to both technical and non-technical stakeholders has been key to your success in previous roles. You are passionate about leveraging data to drive decision-making and improve outcomes for users.
Desirable
Experience with algorithmic game theory and optimization techniques is a plus, as is familiarity with real-time multi-objective optimization problems. You are eager to learn from senior engineers and contribute to a culture of mentorship and growth within your team.
What you'll do
In this role, you will lead the design, development, and productionization of advanced machine learning models and pricing algorithms that power real-time driver pricing for billions of rides. You will develop novel pricing approaches for online marketplaces, combining machine learning with algorithmic game theory and optimization techniques. Your work will directly impact the earnings opportunities for millions of drivers worldwide.
You will be responsible for solving some of Uber's most complex business challenges, presenting $1B+ opportunities to executive stakeholders. Your role will involve working on cutting-edge marketplace ML problems and real-time multi-objective optimizations, serving over 1 million predictions per second. You will also mentor junior engineers and contribute to the technical direction of the team, ensuring that your projects align with Uber's broader business goals.
What we offer
Uber provides a dynamic work environment where innovation is encouraged, and collaboration is key. You will have the opportunity to work with some of the most talented engineers in the industry and receive mentorship that will fast-track your career growth. The company values a culture of learning and development, offering various resources to help you expand your skill set.
In addition to a competitive salary, Uber offers comprehensive benefits, including health insurance, retirement plans, and generous paid time off. You will also have the flexibility to work in a hybrid model, spending at least half of your time in the office to foster collaboration and team spirit. Join Uber and be part of a mission to redefine transportation and logistics through advanced technology.
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