Software Engineer II - Machine Learning

Join Uber as a Machine Learning Engineer working on the UberEats Feed, the gateway to connecting users with restaurants and grocery stores. This role offers an exciting opportunity to work on cutting-edge recommendation systems that impact millions of users worldwide.

As a Machine Learning Engineer, you'll be at the forefront of innovating and implementing state-of-the-art recommendation models specifically tailored for Uber's unique use cases. The UberEats Feed serves as a crucial platform for both users and merchants - helping customers discover great dining options while enabling businesses to showcase their products effectively.

The role combines technical expertise in machine learning with practical business impact. You'll be responsible for designing and building large-scale ML systems, improving model quality, and enhancing data foundations. The position requires strong technical skills in deep learning, recommendation systems, and experience with modern ML frameworks like PyTorch and TensorFlow.

Working at Uber means joining a global technology leader with a strong focus on innovation and scale. You'll collaborate with cross-functional teams, contributing to systems that serve millions of users. The hybrid work environment promotes both in-office collaboration and flexibility, with the expectation to spend at least half of your work time in the office.

The compensation package is competitive, including a substantial base salary, bonus potential, and equity awards. Uber offers comprehensive benefits and maintains a strong commitment to diversity and inclusion. This role provides an excellent opportunity for those passionate about machine learning to make a significant impact on a platform used by millions globally.

If you're excited about solving complex ML challenges, working with big data, and creating systems that directly influence user experiences in the food delivery space, this role at Uber could be your next career milestone.