Software Engineering • Mid-Level

Who you are

You have a solid background in software engineering with a focus on machine learning — you understand how to design, develop, and optimize ML-based solutions to tackle moderately complex problems. Your experience includes working collaboratively with stakeholders to ensure that the systems you build meet the needs of the team and the business.

You are proficient in programming languages such as Python and Java, and you have a strong understanding of SQL for data manipulation and analysis. Your technical skills enable you to productionize machine learning models effectively, ensuring they perform well in real-world applications.

You thrive in a team environment and are comfortable collaborating with cross-functional teams, including product managers and designers. You appreciate the importance of communication and are able to articulate technical concepts to non-technical stakeholders.

You are passionate about leveraging technology to solve real-world problems, particularly in the areas of delivery logistics and advertising. You are eager to contribute to projects that have a significant impact on user experience and business outcomes.

Desirable

Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with big data technologies. You may also have exposure to frameworks and libraries commonly used in machine learning, such as TensorFlow or PyTorch.

What you'll do

In this role, you will be part of the Delivery organization at Uber, where you will work on solving complex logistical challenges at scale. You will collaborate with various teams, including the Ads team, to develop innovative solutions that enhance the user experience and optimize performance.

Your responsibilities will include designing and implementing machine learning models that can be integrated into existing systems. You will also be tasked with optimizing these models for performance and scalability, ensuring they can handle the demands of a large user base.

You will participate in code reviews and contribute to the overall architecture of the systems you work on. Your role will involve continuous learning and adaptation as you stay updated with the latest advancements in machine learning and software engineering practices.

You will have the opportunity to mentor junior engineers and share your knowledge with the team, fostering a culture of learning and collaboration. Your contributions will directly impact the success of Uber's delivery and advertising initiatives, making this a rewarding position for someone who is driven by results.

What we offer

Uber offers a dynamic work environment where you can grow your skills and advance your career. You will have access to cutting-edge technology and the opportunity to work on projects that are at the forefront of the industry. The company values collaboration and encourages employees to share ideas and innovate.

We provide competitive compensation and benefits, including health insurance, retirement plans, and opportunities for professional development. You will also enjoy a flexible work schedule that allows for a hybrid work model, balancing time in the office with remote work.

Join us at Uber and be part of a team that is transforming the way people move and connect. Your work will have a meaningful impact on millions of users worldwide, and you will be supported in your career growth every step of the way.