Software Engineer, Recommendation

at  NewsBreak

ABOUT NEWSBREAK

NewsBreak is redefining the way users interact with local news and their communities. By bridging local users, local content creators, and local businesses, our mission is to foster safer, more vibrant, and authentically connected lives. Through robust collaborations with thousands of local publishers and businesses across the nation, NewsBreak is revolutionizing how a new wave of readers access and engage with essential, locally sourced content & information.
Since our inception in 2015, our trajectory has been nothing short of remarkable. We proudly stand as the nation’s premier local news app.
As a Series-C unicorn startup, our headquarter nestles in the tech hub of Mountain View, California, with other offices in New York City and Seattle. For more information, visit www.newsbreak.com/about
Mountain View, California, United States

MINIMUM QUALIFICATIONS

• Bachelor or advanced degree in computer science or a related technical discipline.
• Advanced coding skills, designs, and expert knowledge in Java or Python.
• Exceptional at analysis, modeling, and problem-solving, with the ability to distill complex data into actionable insights.
• Industry-level project experience in one or more of the following areas: machine learning, natural language processing, recommendation systems and data mining.

PREFERRED QUALIFICATIONS

• Experience in Docker, Kubernetes, elastic search, and building internal APIs.
• Experience with advanced machine learning and deep learning technologies.
• Strong organizational and project management skills, good problem-solving skills.

ABOUT THE ROLE

Join our vibrant content recommendation team, where you’ll play a crucial role in shaping the future of Newsbreak. Our team is at the heart of the company, driving essential product decisions and fueling platform growth. As part of this dynamic and fast-paced group of top-tier machine learning researchers and engineers, you’ll have the opportunity to innovate on production recommendation models and see your work directly impact millions of users. If you’re passionate about collaboration, thrive in a high-energy environment, and are driven to make a significant difference, this is the place for you.

RESPONSIBILITIES

• Develop the recommendation system by leveraging large-scale machine learning models. This involves a variety of tasks, from recall and first-stage ranking to final-stage ranking within the end-to-end workflow
• Analyze user behavior and feedback to continuously refine and improve the recommendation algorithms, ensuring a personalized and engaging user experience
• Innovate and advance recommendation technology, focusing on text and multimedia content, with a particular emphasis on the integration of recommendation and natural language processing (NLP) technologies.
• Collaborate with cross-functional teams including data scientists, engineers, and product managers to implement and scale recommendation solutions