
About NewsBreak
Empowering communities with local news insights
Key Highlights
- Over 50 million users across the U.S.
- Headquartered in Mountain View, CA
- $139.8 million raised in Series B funding
- Voted one of the world's Best Workplaces for Innovators in 2025
NewsBreak is a leading local news aggregation app headquartered in Mountain View, CA, with over 50 million users across the U.S. The platform utilizes AI technology to connect readers with local content creators, ensuring relevant news coverage that often gets overlooked by larger publishers. With $...
๐ Benefits
NewsBreak offers a comprehensive benefits package including work from home opportunities, paid parental leave, health, dental, and vision care for emp...
๐ Culture
NewsBreak fosters a culture that prioritizes local journalism through innovative AI technology. The company is committed to supporting smaller press c...

Machine Learning Engineer โข Junior
NewsBreak โข Mountain View - On-Site
Skills & Technologies
Overview
NewsBreak is hiring a Junior Machine Learning Engineer to build the infrastructure for their Ads and Recommendations products. You'll work with Python, AWS, and TensorFlow to enhance model training and serving. This role is ideal for new graduates or those with limited experience in machine learning.
Job Description
Who you are
You are a recent graduate or have limited experience in machine learning and software engineering โ you have a foundational understanding of Python and are eager to apply your skills in a practical setting. You are familiar with cloud platforms like AWS and have a basic understanding of containerization technologies such as Docker and Kubernetes. You are passionate about machine learning and its applications, and you are excited to contribute to building scalable infrastructure that supports advanced AI models.
You have a collaborative mindset and enjoy working in a team environment โ you are ready to partner with product and data teams to drive improvements in model performance and reliability. You are detail-oriented and understand the importance of monitoring and optimizing machine learning models throughout their lifecycle. You are open to learning and adapting to new technologies and methodologies as you grow in your role.
Desirable
Experience with TensorFlow or similar frameworks is a plus, as is any exposure to machine learning lifecycle management. Familiarity with data pipelines and model serving architectures will help you succeed in this role. You are motivated to learn and grow within a fast-paced environment, and you are excited about the opportunity to work on impactful projects that reach millions of users.
What you'll do
In this role, you will help build and maintain the infrastructure that trains, serves, and monitors machine learning models for NewsBreak's Ads and Recommendations products. You will work closely with a small, high-ownership team to implement platform improvements that enhance model performance and reduce latency. Your responsibilities will include optimizing the training process to make it faster and more reliable, as well as improving the serving performance of models to ensure they deliver accurate and timely recommendations.
You will collaborate with product and data teams to understand their needs and translate them into technical solutions. This will involve working across the entire machine learning lifecycle, from data preprocessing to model deployment. You will also be responsible for monitoring model performance and implementing strategies to keep models fresh and consistent between offline and online use.
As part of your role, you will engage in code reviews and contribute to the team's best practices for machine learning development. You will have the opportunity to learn from experienced engineers and participate in discussions about architecture and design decisions. Your contributions will directly impact the user experience for millions of NewsBreak users, making your work both challenging and rewarding.
What we offer
At NewsBreak, we offer a competitive salary range of $125,000 to $175,000 USD annually, depending on your level of experience and qualifications. You will be part of a supportive and innovative team that values collaboration and creativity. We provide opportunities for professional development and growth, encouraging you to expand your skills and take on new challenges.
Our company culture is built on the principles of inclusivity and respect, and we are proud to be recognized as a Great Place to Workยฎ. You will have access to a range of benefits designed to support your well-being and work-life balance. Join us in shaping the future of content intelligence and making a meaningful impact in the industry.
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