Machine Learning Engineer at Uber

Uber is expanding and seeking a Machine Learning Engineer to contribute to key projects. This position is based in San Francisco, offering a collaborative in-person work environment.

About Uber

Uber operates a mobility platform connecting riders with drivers, food delivery through Uber Eats, and freight logistics, operating in over 10,000 cities worldwide.

About the Role

As a Machine Learning Engineer at Uber, you will collect, clean, and analyse large datasets to support business decision-making while contributing to the team's objectives and broader company goals.

Uber is based in San Francisco, and this role is expected to work from the office. This provides opportunities for face-to-face collaboration, mentorship, and team building. Specific work arrangements are discussed during the interview process.

About the Team

You will join a team of 17 professionals working on data analyst projects. The team collaborates with cross-functional partners to deliver projects on time and maintain high standards of work.

Key Responsibilities

• Collect, clean, and analyse large datasets to support business decision-making
• Build dashboards and visualisations using BI tools (Looker, Tableau, or Power BI)
• Write SQL queries to extract and transform data from multiple sources
• Present findings and recommendations to stakeholders across the organisation
• Design and run A/B tests to measure the impact of product or business changes
• Collaborate with data engineers to improve data quality and accessibility

Requirements

• Degree in Statistics, Mathematics, Economics, Computer Science, or related field
• Proficiency in SQL for querying and manipulating data
• Experience with data visualisation tools (Looker, Tableau, Power BI, or similar)
• Working knowledge of Python or R for data analysis
• Understanding of statistical methods and hypothesis testing
• Strong analytical thinking and business acumen

What We Offer

• $106,300 – $106,300 per year


• Health and wellness benefits


• Retirement savings plans


• Paid time off and holiday schedule


• Learning and development opportunities


• Flexible working arrangements


• Employee wellness programs


• Team building activities

Benefits vary by location, employment type, and individual circumstances. Review the full job posting for complete details.

Career Growth

Uber supports professional growth through mentorship, learning budgets, and defined career paths. Team members are encouraged to develop new skills and take on increasing responsibility over time.

Location

This position is based in San Francisco. Candidates should be based in or willing to relocate to the specified location. Our office provides a collaborative environment with modern amenities.

How to Apply

If you are ready to make an impact at Uber, we encourage you to apply. Submit your application through the link below and a member of the recruitment team will be in touch. We review applications on a rolling basis and aim to respond within 5 business days.

Frequently Asked Questions

Is the Machine Learning Engineer position at Uber remote?

This Machine Learning Engineer role at Uber is based on-site in San Francisco.

What is the salary range for this Machine Learning Engineer role?

The salary range for this position is USD 106,300 - 106,300 per year, depending on experience.

What qualifications are needed for this role?

Uber is looking for candidates with relevant experience and skills matching the requirements listed above. Entry-level and experienced candidates are both encouraged to apply where indicated.