
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 - Applied AI to lead the design and implementation of machine learning systems that enhance core Uber experiences. You'll work with technologies like Generative AI and Computer Vision, requiring deep expertise in classical machine learning and ML systems design.
Job Description
Who you are
You have extensive experience in machine learning, particularly in classical ML and generative AI, with a strong understanding of ML systems design. Your background includes leading technically complex projects and influencing the architecture of ML systems, making you a key player in driving innovation at scale. You thrive in collaborative environments, working closely with product, data science, and infrastructure teams to develop impactful AI solutions. You are passionate about engineering best practices in ML development, ensuring that experimentation workflows and model deployment are efficient and effective.
Desirable
Experience with large-scale ML systems and familiarity with the latest advancements in AI technologies, such as LLMs and multimodal models, would be beneficial. A strong foundation in software engineering principles and practices will further enhance your contributions to the team.
What you'll do
In this role, you will design and implement ML-driven systems that power core Uber experiences, focusing on scalability, reliability, and performance. You will lead the technical execution of key projects involving classical ML, deep learning, and generative AI technologies. Collaborating closely with cross-functional teams, you will contribute to the technical direction for Applied AI, particularly around system design and model architecture. Your leadership will champion engineering best practices in ML development, ensuring that the team adheres to high standards of quality and efficiency in their workflows.
What we offer
At Uber, you will be part of a dynamic team that is at the forefront of applied AI. We offer a competitive salary and benefits package, along with opportunities for professional growth and development. You will work in a supportive environment that values innovation and collaboration, allowing you to make a significant impact on the future of AI at Uber.
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