Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in software engineering with a strong focus on machine learning — you've designed, developed, and optimized ML systems that solve complex problems and have a deep understanding of the entire ML lifecycle from data collection to model deployment. Your expertise in Python and familiarity with ML frameworks like TensorFlow and PyTorch enable you to build robust models that scale effectively.

You are well-versed in cloud platforms, particularly AWS, and understand how to leverage cloud services for model training and deployment — your experience with containerization technologies like Docker and orchestration tools such as Kubernetes allows you to create efficient and scalable ML solutions. You have a solid grasp of SQL and can manage and query large datasets effectively, ensuring data quality and integrity throughout the ML pipeline.

You thrive in collaborative environments and enjoy partnering with stakeholders to understand their needs — your ability to communicate complex technical concepts to non-technical audiences makes you a valuable team member. You are proactive in identifying opportunities for improvement in ML infrastructure and are passionate about optimizing processes to enhance model performance.

Desirable

Experience with high-throughput streaming infrastructure and real-time data processing is a plus — familiarity with tools like Apache Kafka or similar technologies will help you contribute to the Ads Metrics & Attribution team. A background in logistics or advertising technology can provide additional context for the challenges faced by the Delivery and Ads teams at Uber.

What you'll do

In this role, you will partner with various stakeholders to design and develop machine learning solutions that address complex logistical challenges — your work will directly impact the efficiency of Uber's Delivery and Ads operations. You will lead efforts to optimize ML infrastructure, ensuring that model development, training, and deployment processes are streamlined and scalable.

You will be responsible for building and maintaining ML models that enhance user experiences and drive business outcomes — your contributions will help shape the next generation of display and video ads, optimizing supply and performance while delivering exceptional shopper experiences. You will also work closely with the Ads Metrics & Attribution team to ensure that the models you develop are integrated into the broader analytics framework, providing actionable insights for the business.

Collaboration is key in this role, and you will work alongside cross-functional teams, including data engineers and product managers, to ensure that ML solutions align with business objectives — your ability to communicate effectively will help bridge the gap between technical and non-technical team members. You will also mentor junior engineers, sharing your knowledge and expertise to foster a culture of learning and growth within the team.

What we offer

Uber provides a dynamic work environment where innovation is encouraged — you will have the opportunity to work on cutting-edge technologies and contribute to projects that have a significant impact on the company's success. We offer competitive compensation packages, including salary and benefits that reflect your skills and experience.

You will be part of a diverse and inclusive team that values collaboration and creativity — we believe that diverse perspectives lead to better solutions, and we encourage you to bring your unique background and ideas to the table. Our hybrid work model allows for flexibility, ensuring that you can balance your professional and personal life effectively.

Join us at Uber and be part of a mission-driven organization that is transforming the way people move and connect — your work will help shape the future of transportation and logistics, making a real difference in the lives of millions.