Machine Learning Engineer, Recommendation

Machine Learning Engineer, Recommendation

Mountain View, California, United States

About NewsBreak

NewsBreak is the content intelligence platform shaping the future of local information. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information experiences powered by advanced AI, recommendation systems, and adtech.

We\'re proud to be a Great Place to Work-certified company, home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

If you’re a Dreamer, a Builder, an Innovator, we’d love to hear from you!

About the Role

As a Machine Learning Engineer specializing in recommendation systems, you will play a pivotal role in shaping and enhancing our personalized content delivery platform. Your focus will be on developing and optimizing the machine learning components that power the core of our recommendation system, especially on modeling, feature engineering, data pipeline and business metric optimization, ultimately driving user engagement and satisfaction.

Responsibilities

• User Behavior Modeling : Innovate and advance recommendation models based on user interactions to improve user experience.
• Utilize machine learning algorithms to analyze and predict user preferences, engagement patterns, and content consumption behaviors, incorporating cross-platform data for comprehensive insights.
• Optimize and fine-tune algorithms for improved accuracy, relevance, and user experience.
• Proactively identify and address data quality issues, model drift, or system performance concerns.
• Design, implement, and optimize robust and scalable data pipelines to collect, process, and store large volumes of user behavior data.
• Collaborate with cross-functional teams to ensure seamless integration of data pipelines with existing systems and databases.
• Develop and implement innovative feature engineering techniques to extract meaningful insights from raw data.
• Work closely with data scientists and other engineering teams to identify and create relevant features that improve the performance of our recommendation models.

Requirements

Benefits

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