Staff Machine Learning Engineer
Description For Staff Machine Learning Engineer
Uber is seeking a Staff Machine Learning Engineer to join their UberEats Feed team, a crucial component that connects users with restaurants and grocery stores. This role focuses on developing and implementing sophisticated recommendation systems that enhance both user experience and merchant visibility. The position offers an opportunity to work on challenging problems with significant impact, leading a team of ML engineers and scientists.
The role involves building state-of-the-art recommendation models and large-scale ML systems specifically tailored for Uber's use cases. You'll be responsible for improving the Feed Model ML Quality, Model Serving foundation, and Data foundation while collaborating across teams and driving org-level initiatives.
The ideal candidate should have a strong academic background (PhD or Master's) in Computer Science or related fields, combined with extensive industry experience in machine learning and recommendation systems. Expertise in deep learning, recommendation systems, and experience with major ML frameworks is essential. The position requires both technical excellence and leadership skills, as you'll be guiding a team and driving technical vision.
Working at Uber offers competitive compensation, including a base salary range of $218,000-$242,000, equity awards, and bonus opportunities. The role is hybrid, requiring at least 50% office presence, and is available in major tech hubs including San Francisco, Seattle, and New York City. This is an excellent opportunity for experienced ML professionals looking to make a significant impact at a global technology leader.
Responsibilities For Staff Machine Learning Engineer
- Innovate and productionize start-of-the-art recommendation models
- Design and build end-to-end large-scale ML systems for HomeFeed Recommendation
- Improve Feed Model ML Quality, Model Serving foundation and Data foundation
- Collaborate with cross-functional and cross-team stakeholders
- Lead a team of machine learning engineers and scientists
- Drive the long-term technical vision for the team
- Drive cross-team initiatives with org level impact
Requirements For Staff Machine Learning Engineer
- PhD or Master in relevant fields (CS, EE, Math, Stats, etc.) with recommendation system research experiences
- 8 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 with cross-functional partners
Benefits For Staff Machine Learning Engineer
- Equity
- Bonus program
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