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About Uber
Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.
Staff Machine Learning Engineer - Applied AI joins the Applied AI team to deliver end-to-end solutions for core business problems including personalization, generative AI, computer vision, and geospatial AI. This role focuses on building AI-native discovery experiences across mobility and delivery sectors, specifically targeting search, recommendations, and conversational AI. The engineer will own the technical strategy for foundation models, drive architecture decisions for multiple product surfaces, and lead initiatives involving retrieval, ranking, and LLM-powered assistants. Key responsibilities include defining long-term investment areas and mentoring senior engineers. Required expertise includes deep knowledge of transformers, retrieval systems, ranking, and embedding architectures. The candidate must possess experience with PyTorch and distributed training while demonstrating the ability to connect model improvements to business outcomes within the context of large-scale deep learning systems for discovery platforms.
What does a Machine Learning Engineer earn in California?
Median $247075 from 176 postings across 30 companies.
Machine Learning
LLM Fine-tuning
Agentic Workflows
Python
Recommendation Systems
Deep Learning
Feature Engineering
ML Infrastructure
Model Deployment
Monitoring
Data Engineering
Optimization
Large Language Models
Python
PyTorch
TensorFlow
XGBoost
Natural Language Processing
Information Retrieval
Ranking and Relevance
Recommendation Systems
RAG
Prompt Engineering
C++
Java
A/B Testing
Feature Engineering
Deep Learning
Sequence Modeling