
About Uber
Reimagining transportation for a better world
Key Highlights
- Public company (NYSE: UBER) since May 2019
- Completed over 1.5 billion trips globally
- Generated $4.8B in revenue from Uber Eats in 2020
- Raised $15.8 billion in funding
Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...
🎁 Benefits
Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...
🌟 Culture
Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...
Skills & Technologies
Overview
Uber is hiring a Staff ML Engineer to architect and scale an autonomous support agent for customer service. You'll work with Generative AI technologies and machine learning frameworks. This position requires significant experience in AI and ML.
Job Description
Who you are
You have extensive experience in machine learning and AI, particularly in developing and deploying generative models. Your background includes working with large language models (LLMs) and you are familiar with agentic architectures that enhance customer service capabilities. You possess a strong bias for action and creativity, enabling you to leverage GenAI tools effectively to drive innovation and experimentation in your projects.
You are skilled in architecting complex systems that require end-to-end solutions, including agentic planning and execution loops. Your expertise allows you to create robust architectures that ensure compliant and on-brand conversations, enhancing user experience and operational efficiency. You understand the importance of reliability and cost efficiency in deploying AI solutions at scale.
What you'll do
In this role, you will own the architecture of an autonomous support agent, focusing on agentic planning and execution loops, long-term memory, and knowledge routing. You will advance retrieval and reasoning capabilities by building next-generation pipelines that allow the agent to search across various knowledge sources and apply policy-driven tools. Your work will involve establishing evaluation metrics that matter, including offline rubrics and safety tests, ensuring that the agent's performance meets high standards.
You will collaborate closely with product, design, and operations teams to drive automation at scale, aligning policies and coverage to enhance the customer support experience. Your contributions will be pivotal in pushing the boundaries of generative AI in customer service, ensuring that the solutions you develop are not only innovative but also practical and effective in real-world applications.
What we offer
Uber provides a dynamic work environment where you can thrive and make a significant impact. You will have the opportunity to work with cutting-edge technologies and be part of a team that values creativity and innovation. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse perspectives lead to better solutions. Join us in transforming customer support through advanced AI technologies.
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