
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 seeking a Staff Engineer for their AI Solutions team to lead platform architecture and technical direction. You'll work on foundational model data infrastructure and collaborate with various teams to enhance AI systems. This role requires expertise in machine learning and data infrastructure.
Job Description
Who you are
You have extensive experience in backend engineering, particularly in building scalable data infrastructure for AI systems. Your background includes leading technical direction and architecture for complex projects, ensuring that data systems are robust and reliable. You understand the intricacies of machine learning models and how they interact with data, enabling you to create effective solutions that meet the needs of diverse teams.
Your expertise in generative AI and physical AI allows you to contribute to cutting-edge projects that push the boundaries of technology. You are comfortable working in a fast-paced environment and thrive on collaboration, engaging with cross-functional teams to drive innovation and efficiency in data production.
You possess strong problem-solving skills and a deep understanding of data lifecycle management, from dataset design to evaluation and iteration. Your ability to integrate expert knowledge workers into the data process is key to your success in this role. You are committed to maintaining high standards of data quality and integrity, ensuring that the infrastructure you build supports rigorous AI initiatives.
Desirable
Experience with cloud platforms and tools that facilitate data management and machine learning workflows is a plus. Familiarity with AI research and the latest advancements in the field will enhance your contributions to the team.
What you'll do
As a Staff Engineer at Uber AI Solutions, you will lead the technical direction for the team, guiding the architecture of our foundational model data infrastructure. You will collaborate with various stakeholders, including cognitive research teams and model infrastructure organizations, to ensure that our systems meet the evolving needs of AI applications.
Your role will involve designing and implementing scalable data solutions that support multimodal and interactive AI use cases. You will oversee the integration of human expertise into the data lifecycle, ensuring that our datasets are well-structured and ready for model training and evaluation.
You will also be responsible for mentoring junior engineers and fostering a culture of collaboration and innovation within the team. Your leadership will help drive the development of high-quality, reliable data systems that enable rapid advancements in AI research and production.
What we offer
Uber provides a dynamic work environment where you can make a significant impact on the future of AI technology. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will be part of a team that values creativity and encourages you to explore new ideas and approaches to problem-solving.
We believe in the importance of work-life balance and offer flexible working arrangements to accommodate your needs. Join us in our mission to build the infrastructure that supports groundbreaking AI initiatives and transforms the way we interact with technology.
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