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# Staff Machine Learning Engineer - Applied AI

- **Company:** Uber
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $232,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Encodings, Distributed Computing Environment, Machine Learning, Chatbots, Pytorch, Large Language Models, Deep Learning, Information Technology, Machine Learning Operations
- **Published:** October 11, 2026
- **Apply:** https://www.juju.com/job/1_uber-5wqzs1a7cbadf3844e3d29c60a8c352592b39KMAKWAAAAADAAAAAAAAAAAAAAAAFYGMQCI

## About the Role

We are hiring a Staff ML Engineer (IC6) to define and lead the foundation model strategy powering these experiences.
At this level, you will not just build models - you will shape technical direction across teams, influence product strategy, and deliver measurable impact at global scale. **What the Candidate Will Do** + Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI. + Drive architecture decisions that influence multiple product surfaces (Eats, Grocery, Retail, Mobility). + Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants. + Define long-term investment areas (build vs fine-tune vs partner models). + Mentor senior engineers and act as a technical multiplier across the org. **Basic Qualifications** + Masters degree or Ph.D in Computer Science, Engineering, Mathematics + 8+ years of ML experience, including significant work on large-scale deep learning systems. + Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI. + Deep expertise in
transformers, retrieval systems, ranking, and embedding architectures. + Strong experience with PyTorch and distributed training . + Track record of influencing technical direction across teams. + Strong product intuition and ability to connect model improvements to business outcomes. **Preferred Qualifications** + Experience leading multi-team ML initiatives. + Defined long-term technical roadmaps adopted across orgs. + Elevated engineering standards through mentorship and technical leadership. ~~ ~~ 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.