Provide technical leadership: Drive engineering excellence, influence technical decisions across teams, and mentor ML engineers.
Basic Qualifications
Deep expertise in machine learning, deep learning, and recommendation systems, including ranking, sequential modeling, and transformer architectures.
Strong programming skills in Python3 with hands-on experience using ML frameworks such as PyTorch or TensorFlow.
Proven track record of leading complex ML initiatives, driving measurable business impact, and influencing technical direction across teams.
Preferred Qualifications
8+ years of industry experience designing, developing, and deploying machine learning models in large-scale production environments.
Master's or PhD degree in Computer Science, Machine Learning, or a related field.
Experience with advanced recommendation architectures, such as transformer-based sequential modeling, generative recommendation, and foundation models for personalization.
Experience applying LLMs and agentic AI to personalization, recommendation, or user intent understanding.
Experience optimizing multi-objective ranking systems across engagement, conversion, revenue, and long-term user value.
Demonstrated research contributions through publications at top-tier ML conferences, patents, or successful application of novel ML techniques in production.
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
