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 the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
About the Role
Democratize machine learning at Uber! You'll be responsible for ensuring that internal teams across Uber are successful developing and deploying machine learning systems to production with our ML platform Michelangelo. This means making sure Michelangelo is the best ML platform in the industry and that our internal ML community is strong and productive.
What You’ll Do
Use data to ship machine learning infrastructure and platform features that translate into scalable and global business impact
Deeply engage with Uber’s data science community to form relationships, understand their needs and plans
Manage ML infrastructure and platform roadmap and strategy to drive business impact
Drive a vision and strategy for the development and evolution of general and domain-specific ML platforms and systems at Uber
Clearly communicate plans, insights, data and results to a spectrum of audiences including executives, other product teams, cross-functional teams such as data science and analysts, and other decision-makers across Uber
Monitor and measure launched products and feed insights back into product development process
Evangelize machine learning within a global organization
Collaborate with ML research to make state-of-the-art ML research accessible to all data scientists within Uber through Michelangelo (e.g. new algorithms, training techniques, data visualizations, etc.
What You’ll Need
A theoretical and applied understanding of machine learning
Experience working with data infrastructure and distributed systems
Great stakeholder management skills
Great communication skills
Great analytical ability, product intuition, and judgement
Minimum of 4 years of product experience with technical products
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.