
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 $...
🎁 Benefits
NewsBreak offers a comprehensive benefits package including work from home opportunities, paid parental leave, health, dental, and vision care for emp...
🌟 Culture
NewsBreak fosters a culture that prioritizes local journalism through innovative AI technology. The company is committed to supporting smaller press c...
Skills & Technologies
Overview
NewsBreak is seeking a Staff Machine Learning Engineer to lead the design of next-generation recommendation systems and AI initiatives. You'll work with advanced AI technologies and drive complex projects across teams. This role requires strong expertise in machine learning and system-level thinking.
Job Description
Who you are
You have 5+ years of experience in machine learning engineering, with a strong focus on building and optimizing recommendation systems. Your technical leadership skills shine as you guide teams through complex projects, ensuring the successful implementation of AI technologies. You enjoy mentoring others and thrive in environments where you can turn ambiguous problems into scalable solutions. Your background includes a deep understanding of AI and machine learning frameworks, particularly in Python, which you use to develop innovative solutions that enhance user experiences.
You are passionate about system-level thinking and have a proven track record of designing architectures that support large-scale personalization systems. Your ability to collaborate across teams allows you to drive the adoption of AI technologies effectively, ensuring that both product capabilities and engineering workflows benefit from your insights. You are committed to continuous learning and staying updated with the latest advancements in AI and machine learning.
Desirable
Experience with large language models (LLMs) and their application in real-world scenarios is a plus. Familiarity with cloud platforms such as AWS or GCP will enhance your ability to deploy scalable solutions. You are also comfortable working in a fast-paced environment and can adapt to changing priorities while maintaining a focus on delivering high-quality results.
What you'll do
In this role, you will lead the design and architecture of next-generation recommendation systems, ensuring they are scalable and efficient. You will collaborate with cross-functional teams to define the technical direction for AI initiatives, driving the integration of advanced technologies into our products. Your responsibilities will include overseeing complex projects, mentoring junior engineers, and fostering a culture of innovation within the team.
You will be instrumental in shaping the future of our content intelligence platform, leveraging your expertise to enhance user engagement through personalized experiences. Your role will involve analyzing user data to inform the development of algorithms that improve content recommendations, ensuring that our platform remains at the forefront of the content economy.
Additionally, you will participate in strategic discussions about the direction of AI at NewsBreak, contributing your insights to help guide the company's vision. You will also be responsible for documenting best practices and technical specifications to ensure that your team's work aligns with industry standards and organizational goals.
What we offer
At NewsBreak, we value our employees and offer a competitive compensation package, including an annual base pay range of $230,000—$300,000 USD. We provide a supportive work environment that encourages innovation and collaboration. You will have the opportunity to work with a talented team of technologists and product innovators who are dedicated to making a meaningful impact in the content economy. We also offer flexible work arrangements and a commitment to your professional growth and development.
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