Uber · 1 day ago
Staff Machine Learning Engineer - Applied AI
San Francisco, CA
Full-time
Onsite
Lead/Staff
10+ years expUber is a leading technology company that builds intelligent systems for next-generation product experiences. The Staff AI Engineer will work end-to-end across product development, focusing on integrating large language models and multimodal AI systems into scalable applications.
LogisticsMobile AppsRide SharingSoftwareTransportation
Responsibilities
Build end-to-end AI products - from prototype to scalable production deployment - integrating LLMs and multimodal AI into Uber's consumer, earner, and enterprise experiences
Implement automated evaluation systems that use LLM-as-a-judge techniques to benchmark model quality, ensure consistency, and accelerate experimentation
Design and implement services and APIs that connect to leading AI models (e.g., OpenAI, Claude, Gemini, Mistral), ensuring reliability, latency efficiency, and cost optimization
Develop pipelines for training, fine-tuning, and evaluating AI models; manage data ingestion, cleaning, labeling, and experimentation workflows
Perform data science and analytics work to understand performance metrics, user behavior, and model outcomes, ensuring responsible and measurable AI impact
Collaborate across disciplines (engineering, product, design, and data science) to define user problems and translate them into AI-powered solutions
Champion best practices in AI model evaluation, safety, observability, and responsible use of generative AI
Mentor engineers and data scientists, fostering a culture of technical excellence and cross-functional learning
Qualification
Required
10+ years of experience in software engineering, data science, or machine learning, including a track record of shipping production AI systems
Deep understanding of large language models, including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG)
Strong backend engineering skills in Python, Go, or Java, with experience integrating third-party APIs
Hands-on experience building data pipelines and ETL systems (e.g., Spark, Airflow, Flink, or similar)
Ability to analyze data, run experiments, and derive insights for model and product improvement
Familiarity with cloud environments (AWS, GCP, or similar) and ML frameworks (PyTorch, TensorFlow, or JAX)
Excellent communication and collaboration skills across technical and non-technical teams
Preferred
Master's or Ph.D. in Computer Science, Data Science, or related field
Experience integrating foundation model APIs (OpenAI, Claude, Gemini, Cohere, etc.) into production-grade systems
Proven ability to architect AI-powered backend services, optimizing for scalability, latency, and cost efficiency
Background in LLM evaluation systems or AI agent orchestration frameworks (LangChain, Semantic Kernel, etc.)
Demonstrated success leading cross-functional projects that deliver measurable user or business impact
Familiarity with multimodal AI (text, speech, and image models) and data-centric development workflows
Company
Uber
Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10001+ employees
H1B Sponsorship
Uber has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (830)
2024 (796)
2023 (684)
2022 (954)
2021 (750)
2020 (638)
Funding
Current Stage
Public CompanyTotal Funding
$35.56BKey Investors
William AckmanPayPalToyota Motor
2025-09-08Post Ipo Debt· $2.25B
2025-05-13Post Ipo Debt· $1B
2025-01-01Post Ipo Equity· $2.3B
Leadership Team
Dara Khosrowshahi
CEO
Prashanth Mahendra -Rajah
Chief Financial Officer
Recent News
2026-01-09
2026-01-08
2026-01-08
Company data provided by crunchbase