Senior ML Engineer, Shopping Ranking and Recommendations

Welcome to Uber! We are looking for a highly skilled and experienced Senior ML Engineer to join our dynamic Shopping Ranking and Recommendations team. In this role, you will play a critical role in optimizing and enhancing the shopping experience for our customers by applying machine learning techniques to our ranking and recommendation systems. This is an exciting opportunity to make a significant impact on the shopping experience of millions of users worldwide. To be successful in this role, you should have a strong background in machine learning, a passion for innovation, and a collaborative mindset. If you are ready to take on this challenge and help shape the future of shopping at Uber, we want to hear from you!

1. Develop and optimize machine learning algorithms for ranking and recommendation systems to enhance the shopping experience for Uber customers.
2. Collaborate with cross-functional teams to gather requirements and implement solutions that align with business goals.
3. Utilize cutting-edge techniques and tools to continuously improve the performance of our ranking and recommendation systems.
4. Stay current with industry trends and advancements in machine learning to identify opportunities for improvement and innovation.
5. Conduct thorough testing and debugging to ensure the accuracy and reliability of the machine learning models.
6. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and understandable manner.
7. Mentor and provide guidance to junior team members to facilitate their professional growth and development.
8. Develop and maintain documentation and best practices for machine learning processes and solutions.
9. Collaborate with data engineers to ensure efficient data pipelines and high-quality data for machine learning models.
10. Participate in code reviews and contribute to the overall codebase and architecture of the shopping ranking and recommendation systems.
11. Identify and resolve technical issues and challenges that may arise during the development and implementation of machine learning solutions.
12. Continuously monitor and evaluate the performance of the machine learning models and make necessary improvements and adjustments.
13. Proactively identify areas for improvement and optimization in the shopping experience and propose innovative solutions using machine learning techniques.
14. Maintain a strong understanding of Uber's business objectives and align machine learning solutions accordingly.
15. Collaborate with product managers to understand user needs and gather feedback to inform the development of machine learning solutions.

According to JobzMall, the average salary range for a Senior ML Engineer, Shopping Ranking and Recommendations is between $130,000 to $180,000 per year. However, this can vary depending on factors such as location, industry, and years of experience. Senior ML Engineers in this role typically have advanced skills and experience in machine learning and data science, and are responsible for developing and improving algorithms for shopping ranking and recommendation systems. They may also work closely with other team members, such as software engineers

Uber Technologies, Inc. is an American multinational transportation network company offering services that include peer-to-peer ridesharing, ride service hailing, food delivery, and a bicycle-sharing system. The company is based in San Francisco and has operations in over 785 metropolitan areas worldwide.