Staff ML Engineer, Personalization & Real-Time Recommendations

Uber Technologies Inc.; 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 Technologies Inc. is seeking a Staff Machine Learning Engineer to shape the technical and scientific direction of homepage personalization and recommendations across Uber’s apps.

You will lead real-time sequential models, intent-aware ranking, and LLM-based solutions, partnering with product teams to deliver tailored experiences and mentoring engineers to elevate technical excellence. This senior role requires 8+ years of ML experience, deep expertise in ranking and transformer

Qualifications

• Deep expertise in ML, deep learning, and recommendation systems.
• Strong Python3 skills with PyTorch or TensorFlow.
• Proven track record leading complex ML initiatives and driving impact across teams.

Responsibilities

• Drive ML technical strategy for homepage personalization and recommendations.
• Lead development of sequential recommendation models and LLM-based solutions.
• Mentor ML engineers and influence technical decisions across teams.

Skills

Machine learning

Deep learning

Recommendation systems

Python

Leadership

Education

Master's or PhD

Tools

PyTorch

TensorFlow

Job description

Uber Technologies Inc. is seeking a Staff Machine Learning Engineer to shape the technical and scientific direction of homepage personalization and recommendations across Uber’s apps.

You will lead real-time sequential models, intent-aware ranking, and LLM-based solutions, partnering with product teams to deliver tailored experiences and mentoring engineers to elevate technical excellence. This senior role requires 8+ years of ML experience, deep expertise in ranking and transformer