
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...

Machine Learning Engineer • Senior
Uber • San Francisco - Hybrid
Skills & Technologies
Overview
Uber is hiring a Senior Staff Machine Learning Engineer for their AV Labs to develop cutting-edge machine learning techniques for autonomous vehicles. You'll work with technologies like Python and Big Data to unlock real-world driving data. This position requires significant experience in machine learning and computer vision.
Job Description
Who you are
You have 5+ years of experience in machine learning and computer vision, with a strong background in developing and implementing advanced algorithms. Your expertise in Python allows you to build robust machine learning models that can handle complex data sets. You are skilled in collaborating with cross-functional teams, including networking, storage, and cloud engineering, to deliver high-quality solutions. You have a proven track record of identifying issues and implementing effective solutions, setting a high technical excellence bar in all your projects.
You are passionate about the autonomous technology ecosystem and understand the importance of real-world data in driving advancements in this field. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an effective leader within your team. You thrive in a collaborative environment and are eager to mentor junior engineers, sharing your knowledge and experience to help them grow.
Desirable
Experience with big data technologies and cloud platforms is a plus, as is familiarity with data collection and processing at scale. You are open to exploring new machine learning techniques and are excited about the potential of AI in transforming transportation.
What you'll do
In this role, you will design and deliver software and tools as part of Uber's state-of-the-art machine learning platform. You will participate in developing the vision and technology roadmap for machine learning and computer vision at Uber, ensuring that the solutions you create are scalable and efficient. Your work will directly contribute to unlocking real-world, long-tail driving data, which is crucial for the success of autonomous vehicles.
You will collaborate with other engineers across various domains, including networking, storage, and compute, to build platforms that harness scale and complexity. Your technical leadership will influence the direction of projects and help shape the future of Uber's autonomous technology initiatives. You will also be involved in setting best practices for machine learning development and ensuring that the team adheres to high standards of quality and performance.
What we offer
Uber provides a dynamic work environment where innovation is encouraged, and employees are empowered to make a difference. You will have the opportunity to work on groundbreaking technology that has the potential to reshape how people move and interact with their environment. Competitive compensation and benefits packages are offered, along with opportunities for professional growth and development within the company. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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