Staff ML Engineer- Rider Pricing & Incentives

| South Bay
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About the Role
Uber Marketplace (https://marketplace.uber.com/) is at the core of Uber's business, and rider pricing and incentives are strategically critical components of Marketplace. The mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact to the transportation industry. The team is rapidly growing with high impact and visibility from the top. We are responsible for developing state of the art technology to optimize the pricing and incentives strategy in our platform that directly drives efficiencies and effectiveness across rider interaction with Uber. We handle a significant trunk of all the pricing and incentives budget we are spending at Uber and we aim to build long-term loyalty among Uber riders and create a healthy and balanced ecosystem. It is a challenging yet rewarding job.
As an engineer you will have a lot of opportunities to work with product managers, data scientists and of course engineers from other teams. You will participate the whole development cycle of a software product from product scoping, architecture design, software implementation, to productionization, and learn how to iterate a product for greater success. We own a few products that directly impact Uber's bottom line. We are a data driven team, and you will be able to see the impact of your work reflected in Uber's earning report, such as gross booking and trips. The least thing you need to worry about is scope and visibility. We have many different roles in the team, and need a broad range of skills such as machine learning, big data, optimization, and infrastructure. This is a unique opportunity to grow your career and do highly impactful fun things at the same time.
What You'll Do
• Lead the machine learning effort in pricing and incentives• Drive open-ended projects from end to end, with exceptional execution.• Thrive in ambiguous product requirements.• Collaborate with Product Managers and Data Scientists closely.• Make data driven decisions.• Be motivated to own projects and push them forward with independence. Most importantly, have a passion to make Uber better for our riders.
Basic Qualifications
• 7 Minimum Years of industry experience with a PhD in relevant fields (CS, EE, Math, Stats, Physics, etc.) or 10 Minimum Years of industry experience with a master or bachelor degree.• 3 Minimum Years on Machine Learning, Statistics, Optimization and Data Mining.• Expertise in one or more object-oriented languages, including C++, Java, Python, Go or Scala.
Preferred Qualifications
• Experience in simplifying/converting business problems into ML problems.• Experience in large scale causality learning and/or deep learning.• Experience developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability.• Experience presenting at industry recognized ML conferences and a good publishing record.
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please let us know by completing this form.
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An Insider's view of Uber

What’s the vibe like in the office?

When I went into the office for my final interview with Uber, I had the same feeling that I did when I stepped onto my college’s campus for the first time: it just felt like the right fit. The office was high-paced but also relaxed and you could immediately tell that people were friends and genuinely enjoyed being there.

Paige Sammarco

Account Executive, Uber Eats

What kinds of technical challenges do you and your team face?

One of the big challenges today with experimentation is around guaranteeing correctness, especially for small changes to ensure confidence in results. Was that change the cause of new behavior? Did other experiments get in the way? It all comes down to how accurately you can detect small changes within consumer behavior.

Azarias Reda

Head of Uber's Experimentation API team

What makes someone successful on your team?

"It’s not just about the individual contributor. The most successful people are the ones learning from others. On my team, I make sure that everyone shares best practices and we foster a collaborative culture. So when you’re on a call, you’re never really alone. And that applies to everyone."

Ali Faivus

Head of Mid-Market Sales

How do you empower your team to be more creative?

We make sure we don’t ship org structures, but rather aligned products. How can our products complement one another, building upon each other to achieve our primary goals? Whether it’s scheduling, routing, predictive analytics, or operational excellence, we are acting as one, and smartly leveraging our domains and strengths.

Joe Chang

Director of Engineering, Uber Freight

How does your team reward individual success?

I believe recognizing someone’s contributions are a big part of team play. On our weekly meetings, we always start with a shout-out, and it’s amazing how this simple topic stimulates the team to recognize small victories and accredit colleagues for their accomplishments. This brings our team together and fosters a more collaborative environment.

Silvia Penna

Sr Manager, Central Operations

What are Uber Perks + Benefits

Uber Benefits Overview

Doing your best work means being your best self. To help, we offer a wide range of benefits and perks, some that only Uber can, to support your health and wellbeing.

Culture
Volunteer in local community
Our people, process, and technology can help transform cities into safer, more efficient, and more beautiful places. Learn more: https://www.uber.com/community/supporting-cities/
Partners with Nonprofits
Technology, when it's done right—and combined with good partnerships—has the potential to contribute to a better world for all. Learn more: https://www.uber.com/us/en/community/
Friends outside of work
Eat lunch together
Intracompany committees
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Diversity
Documented equal pay policy
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Diversity manifesto
Someone's primary function is managing the company’s diversity and inclusion initiatives
Diversity Employee Resource Groups
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
Company Equity
Employee Stock Purchase Plan
Performance Bonus
Child Care & Parental Leave Benefits
Child Care Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
Were providing more flexibility for some employees to be fully remote and we’re establishing a process to apply to be fully remote if employees think that’s best for them.
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Sabbatical
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Free Daily Meals
Game Room
Stocked Kitchen
Pet Friendly
Fitness Subsidies
Home Office Stipend for Remote Employees
Professional Development Benefits
Diversity Program
Cross functional training encouraged
Promote from within
Mentorship program
Online course subscriptions available
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