Uber
Staff Machine Learning Engineer - Rider Intelligence
$232K–$258K
Seattle, Washington +2 · Staff · Full-time · Posted Oct 16, 2026
- Location
- Seattle, Washington
Sunnyvale, California
San Francisco, California - Experience
- Preferred: 8+ years of industry experience designing, developing, and deploying machine learning models in large-scale production environments.
- Education
- Preferred: Master's or PhD degree in Computer Science, Machine Learning, or a related field.
About the job
Leads the technical direction and development of machine-learning systems that personalize Uber’s app homepage and recommendations across business lines.
What you'll do
- Set technical and scientific strategy for homepage personalization and recommendation systems.
- Lead development of sequential recommendation, intent-aware ranking, and LLM-based or agentic solutions.
- Partner across teams to improve user experience and business outcomes, guide technical decisions, and mentor engineers.
What they ask for
- Deep expertise in machine learning, deep learning, and recommendation systems, including ranking, sequential modeling, and transformer architectures.
- Strong programming skills in Python3 and hands-on experience with PyTorch or TensorFlow.
- Track record leading complex ML initiatives, delivering measurable business impact, and influencing technical direction across teams.
Nice to have
- Experience with advanced recommendation architectures, LLMs or agentic AI, and multi-objective ranking.
- Research contributions through publications, patents, or successful application of novel ML techniques in production.
Pay
USD $232,000 per year - USD $258,000 per year (base salary)
Tools
Python3, PyTorch, TensorFlow, LLMs
AI focus
Develops LLM-based and agentic AI solutions for personalization, recommendation, and user-intent understanding.
Model-written summary · the original posting is authoritative