MACHINE LEARNING ENGINEER (JUNIOR & NEW GRAD) BELLEVUE, WASHINGTON, UNITED STATES

Unclassified - Bellevue, WA

Full-time - Entry Level

Bellevue, WA

About the position

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 and 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 headquarters nestles in the tech hub of Mountain View, California, with other offices in New York City and Seattle. In this role, you will develop highly scalable tools leveraging machine learning models to solve problems such as classification, clustering, topic modeling, natural language processing, and recommendation. You will also be responsible for developing in-house machine learning tools and pipelines to support fast experimentation of machine learning models. Collaboration with other engineers to identify and solve machine learning problems will be a key part of your responsibilities.

Responsibilities

• Develop highly scalable tools leveraging machine learning models to solve problems such as classification, clustering, topic modeling, natural language processing, and recommendation.
• Develop in-house machine learning tools and pipelines to support fast experimentation of machine learning models.
• Work with other engineers to identify and solve machine learning problems.

Requirements

• Experience in one or more of the following areas: machine learning, recommendation systems, deep learning, feed, relevance, and data mining.
• Expert knowledge in Java or Scala.
• Experience with scripting languages such as Perl, Python, and shell scripts.
• MS degree in Computer Science or related quantitative field.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or MxNet.

Benefits

• Health, dental, and vision care for you and your family (100% coverage for employee).
• Top-tier 401(K) plan with company matching.
• Paid time off and paid holidays.
• FSA, HSA and commuter benefits programs.
• Team activity budget.