Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Uber is seeking a Senior Machine Learning Engineer to join their UberEats Feed team, a crucial component of their food delivery service. This role focuses on developing and implementing sophisticated recommendation systems that enhance both user experience and merchant visibility on the platform.
The position offers an exciting opportunity to work on the UberEats Feed, which serves as the primary interface between users and the service. As the front door to UberEats, this system plays a vital role in connecting users with restaurants and grocery stores while helping merchants showcase their products to potential customers.
The ideal candidate will bring a strong academic background (PhD or Master's degree) in Computer Science, Electrical Engineering, Mathematics, or Statistics, combined with at least 4 years of industry experience in machine learning and recommendation systems. They should have deep expertise in deep learning, recommendation systems, and optimization algorithms, with practical experience using frameworks like PyTorch and TensorFlow.
This role offers a competitive base salary range of $185,000 to $205,500 per year, along with additional benefits including bonus opportunities and equity awards. The position is hybrid, requiring at least 50% time in the office, emphasizing Uber's commitment to maintaining a collaborative culture while offering some flexibility.
Working at Uber means joining a company at the forefront of technology innovation, where your work will directly impact millions of users worldwide. The role offers the opportunity to work on challenging, open-ended problems while collaborating with talented cross-functional teams. You'll be building and optimizing large-scale ML systems that power real-world applications, making this an ideal position for someone who wants to combine theoretical machine learning expertise with practical implementation at scale.
The company maintains a strong commitment to diversity and inclusion, welcoming qualified applicants from all backgrounds. This role represents an opportunity to work on cutting-edge technology while making a tangible impact on how people discover and access food delivery services through the UberEats platform.
Responsibilities For Senior Machine Learning Engineer
- Innovate and productionize start-of-the-art recommendation models for Uber's use cases
- Design and build end-to-end large-scale ML systems to power the HomeFeed Recommendation
- Improve the Feed Model ML Quality, Model Serving foundation and the Data foundation
- Collaborate with cross-functional and cross-team stakeholders
Requirements For Senior Machine Learning Engineer
- PhD or Master in relevant fields (CS, EE, Math, Stats, etc.) with recommendation system research experiences
- 4 years minimum of industry experience with focus on machine learning and recommendation systems
- Expertise in deep learning, recommendation systems, or optimization algorithms
- Experience with ML frameworks such as PyTorch and TensorFlow
- Experience building and productionizing innovative end-to-end Machine Learning systems
- Proficiency in one or more coding languages such as Python, Java, Go, or C++
- Experience with Spark, Hive, Kafka, Cassandra
- Strong communication skills and ability to work effectively with cross-functional partners
Benefits For Senior Machine Learning Engineer
- Bonus program
- Equity awards
- Various benefits package
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