Uber
Principal Engineer - ML / AI – Foundation Models
$302K–$336K
San Francisco, California +2 · Principal · Full-time · Posted Oct 19, 2026
- Location
- San Francisco, California
Sunnyvale, California
Seattle, Washington - Experience
- A minimum of 10 years of relevant software engineering experience.
- Education
- BS degree in Computer Science or related technical field, or equivalent experience.
About the job
Lead the hands-on design, development, and scaling of foundation models trained on Uber marketplace data, shaping company-wide ML strategy and adoption.
What you'll do
- Architect, develop, and train large sequence-based Transformer foundation models and learned representations.
- Shape model strategy and influence scalable training infrastructure, distributed computing, and deployment approaches.
- Provide technical leadership and partner with engineering and ML teams to advance foundation model applications across Uber.
What they ask for
- BS degree in Computer Science or a related technical field, or equivalent experience.
- At least 10 years of relevant software engineering experience, with a record of technical leadership and innovation.
- Extensive experience designing, building, and scaling deep learning systems and large-scale AI infrastructure.
Nice to have
- Master’s/PhD in Computer Science or a related technical field.
- Hands-on experience with foundation models, sequence-based Transformers, or large-scale AI/ML infrastructure and distributed computing.
Pay
USD $302,000 per year - USD $336,000 per year (base salary)
Tools
Transformer models, deep learning, distributed computing, embeddings
AI focus
Build and scale foundation models trained on Uber’s proprietary marketplace data, including sequence-based Transformers, representation learning, and downstream ML applications.
Model-written summary · the original posting is authoritative