Staff ML Engineer: Personalization & Real-Time Recommendations

Uber; United States; On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits package

Job summary

Uber is hiring a Staff Machine Learning Engineer to shape the technical direction of homepage personalization and recommendation across Rider Intelligence. You will lead real-time sequential models, intent-aware ranking, and LLM-based approaches, partnering with product teams to deliver targeted experiences.

You will mentor engineers, drive cross-team technical decisions, and push for production-grade ML at scale across Uber’s services, including Rides, Eats, and more.

Qualifications

• Deep expertise in ML, DL, and recommender systems.
• Experience with ranking, sequential modeling, and transformers.
• Proven track record leading complex ML initiatives and business impact.

Responsibilities

• Shape technical direction for homepage personalization and ranking.
• Lead development of sequential recommender models and LLM-based solutions.
• Partner with product teams to improve user experience and business outcomes.
• Mentor engineers and drive engineering excellence across teams.

Skills

Machine learning

Deep learning

Recommendation systems

Transformer architectures

Python

PyTorch

TensorFlow

Education

Master's or PhD in CS/ML

Tools

PyTorch

TensorFlow

Job description

Uber is hiring a Staff Machine Learning Engineer to shape the technical direction of homepage personalization and recommendation across Rider Intelligence. You will lead real-time sequential models, intent-aware ranking, and LLM-based approaches, partnering with product teams to deliver targeted experiences.

You will mentor engineers, drive cross-team technical decisions, and push for production-grade ML at scale across Uber’s services, including Rides, Eats, and more.