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 Machine Learning Engineer II to enhance rider engagement through advanced machine learning infrastructure and algorithms. You'll work with technologies like Python and deep learning models to deliver personalized recommendations. This position requires experience in machine learning and a strong understanding of real-time systems.
Job Description
Who you are
You have a solid background in machine learning, with experience in developing and deploying models that enhance user engagement. Your expertise in Python allows you to build robust machine learning solutions that operate efficiently in real-time environments. You understand the importance of personalization in user experiences and are passionate about leveraging data to drive engagement.
You have experience working with deep learning frameworks and are familiar with the challenges of optimizing algorithms for low latency. Your analytical mindset enables you to tackle complex problems and deliver innovative solutions that meet user needs. You thrive in collaborative environments and enjoy working with cross-functional teams to achieve common goals.
What you'll do
In this role, you will be responsible for developing machine learning infrastructure that powers personalized recommendations for riders. You will work on projects like optimizing the rider homepage ranking and product selection ranking, ensuring that users receive the most relevant suggestions based on their session intent. Your contributions will directly impact millions of users interacting with Uber's platform.
You will collaborate closely with data scientists and engineers to design and implement state-of-the-art deep learning models. Your work will involve experimenting with different algorithms and techniques to improve the performance of the models you develop. You will also be responsible for monitoring the performance of these models in production and making necessary adjustments to ensure optimal results.
What we offer
Uber provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work on cutting-edge machine learning projects that have a significant impact on the rider experience. The company values diversity and inclusion, and you will be part of a team that is committed to creating a supportive and collaborative culture. Additionally, Uber offers competitive compensation and benefits, including opportunities for professional growth and development.
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