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 Machine Learning Engineer to lead the development of cutting-edge AI solutions. You'll work with technologies like Generative AI and Computer Vision to design scalable ML systems. This position requires deep experience in machine learning and systems design.
Job Description
Who you are
You have extensive experience in machine learning and a strong background in designing and implementing ML-driven systems. Your expertise includes generative AI and classical computer vision, and you thrive in a collaborative environment where you can influence the architecture of ML systems. You are a hands-on technical leader who enjoys tackling complex projects and driving innovation across teams. You understand the importance of scalability, reliability, and performance in AI solutions and are passionate about applying AI at scale.
You have a proven track record of leading technically complex projects and collaborating with cross-functional teams, including product, data science, and infrastructure. Your ability to communicate effectively and champion engineering best practices in ML sets you apart. You are comfortable navigating fast-paced, product-driven environments and are eager to contribute to the technical direction of applied AI at Uber.
What you'll do
In this role, you will design and implement machine learning systems that power core Uber experiences. You will lead the technical execution of key projects that involve classical machine learning, deep learning, and generative AI technologies, including large language models and multimodal models. Your collaboration with product and data science teams will be crucial in developing AI solutions from ideation through production deployment. You will also contribute to the technical direction for Applied AI, particularly around system design and model architecture.
You will champion engineering best practices in machine learning, ensuring that the solutions you develop are scalable and reliable. Your influence will extend to infrastructure decisions, helping to shape the future of AI at Uber. You will be at the forefront of applied AI, driving innovation and impact across multiple Uber surfaces.
What we offer
Uber offers a dynamic work environment where you can make a significant impact on the future of AI technology. You will have the opportunity to work with cutting-edge technologies and collaborate with talented professionals across various teams. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of transportation through innovative AI solutions.
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