Enable job alerts via email!
Boost your interview chances
An innovative company is seeking a talented Machine Learning Engineer to develop scalable tools and pipelines that leverage cutting-edge machine learning models. This role involves solving complex problems such as classification and recommendation systems while collaborating with a team of engineers. Join a dynamic startup that is transforming local news engagement and enjoy a competitive benefits package, including health coverage and a top-tier 401(K) plan. If you are passionate about machine learning and want to make a meaningful impact, this opportunity is perfect for you.
Bellevue, Washington, United States; Mountain View, California, United States
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
Location: Onsite 5 days in Bellevue, WA office or Mountain View, CA office
We offer a competitive benefits package:
The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.