Senior ML Engineer: Scalable AI for Consumer Growth

Uber; San Francisco (CA); On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

401(k) plan

Bonus program

Equity award

Benefits

Job summary

Uber is seeking an engineer to build products powered by scalable distributed systems and advanced AI, impacting hundreds of millions of users across grocery and food verticals.

You will own end-to-end product lifecycles, design and tune systems, and partner with product management, operations, and data science to drive growth.

The role is on-site in the US with a base salary range of USD 202,000 to 224,000 per year, plus bonus, equity, and comprehensive benefits.

Qualifications

• Bachelor's degree with 4+ years of full-time engineering experience.
• Proficiency in Python, Go, or Java.
• Experience building and productionizing innovative end-to-end ML systems.
• Strong communication and ability to work effectively with cross-functional partners.
• Strong sense of ownership to drive projects end-to-end.

Responsibilities

• Architecting and launching products to power consumer experiences and business outcomes.
• Overseeing full project lifecycles from scoping to post-launch maintenance.
• Designing, tuning, and enhancing systems and algorithms to operate at scale.
• Partnering with product management, operations, and data science across parties.

Skills

Python

Go

Java

Communication

Ownership

Education

Bachelor's degree in Computer Science, Engineering, Mathematics or related field

Job description

Uber is seeking an engineer to build products powered by scalable distributed systems and advanced AI, impacting hundreds of millions of users across grocery and food verticals.

You will own end-to-end product lifecycles, design and tune systems, and partner with product management, operations, and data science to drive growth.

The role is on-site in the US with a base salary range of USD 202,000 to 224,000 per year, plus bonus, equity, and comprehensive benefits.