Staff ML Engineer - Personalization & Recommendation Systems

Uber; Seattle (WA); On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber is seeking a Staff Machine Learning Engineer for the Rider Intelligence team to shape technical direction and lead the design of ML solutions across homepage personalization, recommendations, and intent understanding. You will collaborate with product teams to deliver personalized experiences and mentor engineers, driving technical excellence across multiple Uber business lines.

The role emphasizes real-time sequential recommendations, transformer-based models, and agentic AI approaches,

Qualifications

• Advanced ML expertise including ranking, sequential modeling, and transformers.
• Strong Python3 programming with hands-on ML framework experience.
• Proven track record leading complex ML initiatives and driving business impact.

Responsibilities

• Shape technical and scientific direction for homepage personalization and recommendations.
• Lead development of sequential models, intent-aware ranking, and LLM-based solutions.
• Partner with product teams to deliver personalized experiences and measurable engagement gains.
• Mentor engineers and raise the team's technical excellence.

Skills

Machine learning

Deep learning

Recommendation systems

Python

Education

Master's or PhD in Computer Science / ML

Tools

PyTorch

TensorFlow

Job description

Uber is seeking a Staff Machine Learning Engineer for the Rider Intelligence team to shape technical direction and lead the design of ML solutions across homepage personalization, recommendations, and intent understanding. You will collaborate with product teams to deliver personalized experiences and mentor engineers, driving technical excellence across multiple Uber business lines.

The role emphasizes real-time sequential recommendations, transformer-based models, and agentic AI approaches,