Senior Machine Learning Engineer
Top Benefits
About the role
About The Role In this role, with the Marketplace Earner Incentives team, you will contribute to building the next generation of models and systems aimed at addressing undersupply issues in the marketplace by effectively incentivizing drivers. You'll have the opportunity to make a meaningful impact on the lives of riders and drivers at Uber scale through end-to-end ownership of high-impact projects.
If you're excited by complex, real-world challenges-like motivating drivers in highly competitive markets with incomplete information-this is the space for you. You'll thrive by diving into problems, formulating and testing hypotheses, rapidly identifying simple solutions, and iterating quickly to drive continuous improvement .
What You Will Do
- Solve ambiguous, challenging business problems using data-driven approaches.
- Build and optimize models and algorithms powering earner incentives across the Uber marketplace.
- Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.
- Role model ML best practices by building systems that are easy to monitor, debug, maintain, and iterate on.
- Uplevel the more junior members of the team through mentorship, code and design reviews.
Basic Qualifications :
- Comfortable programming in at least one major language such as Python (preferred), Scala, Go,...
- Experience collaborating cross-functionally with product and other engineering roles.
- Driven and curious.
- Can work independently.
- Either:
- 5+ years of experience building production machine learning systems at scale and a Bachelor's or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, Economics, or a related field.
- 3+ years of experience building production machine learning systems at scale and a Masters or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, Economics, or a related field.
- 2+ years of experience building production machine learning systems at scale and a PhD or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, or a related field.
Preferred Qualifications:
- Exceptional technical communication skills.
- Experience writing custom models in Pytorch or Tensorflow/Keras.
- Experience with working with large scale data processing systems like (Py)Spark and Presto/Trino.
- Experience training models at scale and building reliable data and modeling pipelines.
For Canada-based roles: The base salary range for this role is CAD$164,000 per year - CAD$182,000 per year. 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.
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.
Senior Machine Learning Engineer
Top Benefits
About the role
About The Role In this role, with the Marketplace Earner Incentives team, you will contribute to building the next generation of models and systems aimed at addressing undersupply issues in the marketplace by effectively incentivizing drivers. You'll have the opportunity to make a meaningful impact on the lives of riders and drivers at Uber scale through end-to-end ownership of high-impact projects.
If you're excited by complex, real-world challenges-like motivating drivers in highly competitive markets with incomplete information-this is the space for you. You'll thrive by diving into problems, formulating and testing hypotheses, rapidly identifying simple solutions, and iterating quickly to drive continuous improvement .
What You Will Do
- Solve ambiguous, challenging business problems using data-driven approaches.
- Build and optimize models and algorithms powering earner incentives across the Uber marketplace.
- Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.
- Role model ML best practices by building systems that are easy to monitor, debug, maintain, and iterate on.
- Uplevel the more junior members of the team through mentorship, code and design reviews.
Basic Qualifications :
- Comfortable programming in at least one major language such as Python (preferred), Scala, Go,...
- Experience collaborating cross-functionally with product and other engineering roles.
- Driven and curious.
- Can work independently.
- Either:
- 5+ years of experience building production machine learning systems at scale and a Bachelor's or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, Economics, or a related field.
- 3+ years of experience building production machine learning systems at scale and a Masters or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, Economics, or a related field.
- 2+ years of experience building production machine learning systems at scale and a PhD or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, or a related field.
Preferred Qualifications:
- Exceptional technical communication skills.
- Experience writing custom models in Pytorch or Tensorflow/Keras.
- Experience with working with large scale data processing systems like (Py)Spark and Presto/Trino.
- Experience training models at scale and building reliable data and modeling pipelines.
For Canada-based roles: The base salary range for this role is CAD$164,000 per year - CAD$182,000 per year. 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.
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.