Machine Learning Engineer II

$158,000 - $175,500/Yr

Uber - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Transit and Ground Passenger Transportation

About the position

The Ads Machine Learning (Ads ML) team at Uber is dedicated to enhancing the ad experience for users across various applications within the Uber ecosystem. This role involves a deep dive into understanding user and merchant behaviors to generate precise machine learning signals that improve the Ads auction system. The primary objective is to maximize the benefits for both users and merchants, ensuring that the Ads distribution system operates efficiently and effectively. In this position, you will play a pivotal role in shaping Uber's Ads systems by defining and executing the Ads ML roadmap. Your focus will be on enabling and accelerating large-scale improvements to our recommendation systems. The development of relevant, robust, and observable ad recommendations is essential to Uber's rapidly growing Ads Business strategy, making this a highly impactful role within the organization. You will be expected to collaborate with cross-functional teams to implement innovative solutions that drive user engagement and merchant satisfaction. This position is based in New York, NY or San Francisco, CA, with a competitive salary range of USD$158,000 to USD$175,500 per year. Additionally, you will be eligible to participate in Uber's bonus program and may receive an equity award along with other compensation types. Various benefits are also available, further enhancing the overall compensation package.

Responsibilities

• Define and execute the Ads ML roadmap.
• Develop and implement machine learning models for ad recommendations.
• Analyze user and merchant behavior to generate accurate ML signals.
• Collaborate with cross-functional teams to enhance the Ads auction system.
• Maximize benefits for users and merchants within Uber's Ads distribution system.
• Monitor and improve the performance of recommendation systems.

Requirements

• Strong background in machine learning and data analysis.
• Experience with recommendation systems and ad technologies.
• Proficiency in programming languages such as Python or Java.
• Ability to analyze large datasets and derive actionable insights.
• Experience in collaborating with cross-functional teams.

Nice-to-haves

• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
• Experience in the advertising technology industry.
• Knowledge of user experience design principles.

Benefits

• Participation in Uber's bonus program.
• Eligibility for equity awards.
• Comprehensive health benefits.
• Paid time off and holidays.
• Retirement savings plan options.