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 Senior Machine Learning Engineer to build and scale an autonomous support agent for customer service. You'll work with GenAI tools and focus on LLM orchestration and multilingual support. This role requires expertise in machine learning and experience in building production systems.
Job Description
Who you are
You have a strong background in machine learning and AI, with experience in building and scaling production systems that handle complex tasks. Your expertise in GenAI tools and LLM orchestration allows you to push the boundaries of what's possible in customer service automation. You thrive in collaborative environments and are eager to experiment with new technologies to enhance user experiences.
You possess a deep understanding of agent architecture, including planning and execution loops, long-term memory, and policy enforcement. Your ability to design systems that ensure compliant and on-brand conversations is a key asset. You are detail-oriented and hold a high standard for reliability and cost efficiency in your work.
What you'll do
In this role, you will work on developing the architecture for an autonomous support agent, focusing on agentic planning and execution loops. You will design and implement production systems that can handle millions of conversations while maintaining rigorous service level objectives. Your responsibilities will include creating safety guardrails and graceful degradation strategies to ensure a seamless user experience.
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. Establishing effective evaluation metrics will be crucial, as you will create offline rubrics and simulated scenarios to assess the agent's performance.
Collaboration with cross-functional teams will be essential as you work to integrate your systems into Uber's existing platforms. You will also be expected to contribute to the continuous improvement of the agent's capabilities through experimentation and iteration.
What we offer
Uber provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work with cutting-edge technologies and be part of a team that is shaping the future of customer service. We value creativity and a bias for action, and we encourage you to apply even if your experience doesn't match every requirement. Competitive compensation and benefits are part of our commitment to attracting top talent.
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