Senior Machine Learning Engineer

$185,000 - $205,500/Yr

Uber - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Transit and Ground Passenger Transportation

About the position

The Senior Machine Learning Engineer will play a crucial role in the Ads Machine Learning (Ads ML) team at Uber, focusing on enhancing ad recommendations across various applications within the Uber ecosystem. This position involves defining and executing the Ads ML roadmap to drive large-scale improvements in recommendation systems, thereby maximizing benefits for both users and merchants. The role requires a deep understanding of user and merchant behavior to generate accurate ML signals that improve the Ads auction system.

Responsibilities

• Design and implement machine learning models and algorithms to optimize ad recommendations and auction mechanisms.
• Apply advanced statistical and machine learning techniques to generate insights and improve the effectiveness of ad targeting and delivery.
• Define success metrics and develop dashboards to monitor and visualize the performance of ML models in production.
• Work closely with cross-functional teams, including Product, Engineering, and Data Science, to translate business requirements into ML solutions.
• Mentor and provide technical guidance to junior ML engineers and data scientists.
• Stay up-to-date with the latest research and advancements in machine learning, recommendation systems, and ad auction techniques.

Requirements

• Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Data Science, ML, Statistics, or other quantitative fields.
• Proven experience with designing and implementing machine learning models in production environments applied to recommendation systems.
• Proficiency in using Python for developing ML models and handling large-scale data sets.
• Hands-on experience with building batch data pipelines using technologies like Spark or other map-reduce frameworks.

Nice-to-haves

• 5 years of industry experience as an ML engineer or equivalent.
• Experience with enabling production-scale and maintaining large ML models.
• Experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) and one ML framework (Pytorch, Tensorflow).
• Experience with state-of-the-art deep learning techniques.
• Advanced degree (Ph.D. or M.S.) in Data Science, ML, or related disciplines.

Benefits

• Participation in Uber's bonus program
• Equity award opportunities
• Various health and wellness benefits