Engineering High-Potential Launch Program (3-Month to Full-Time Program) in Mountain View

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Job DescriptionJob Description

About NewsBreak

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.

Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.

Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.

If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about

Location: Mountain View, CA
Commitment: On-site
Duration: 12 weeks starting in early 2026
Conversion Opportunity: High-performing interns will be evaluated for full-time offers

About the Program

We're launching our 2025 Engineering Program, a fast-paced, high-impact opportunity designed for aspiring engineers who want to build real products, ship meaningful features, and accelerate their path into a full-time role. Over the course of 12 weeks, you'll work closely with experienced engineers, gain hands-on mentorship, contribute directly to production systems, and help solve real challenges across NewsBreak's ecosystem. This is a paid, on-site based in our Mountain View headquarters. Top-performing interns will be considered for full-time offers at the conclusion of the program.

Highlighted Projects：

You will be matched to a team based on skills, interests, and business needs. Sample projects include:

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This initiative explores cutting-edge NLP, generative AI, and multimodal technologies to power the next of content intelligence. The project includes building AI-driven content capabilities that significantly expand the content supply while enhancing accuracy, quality, and user relevance. The goal is to create scalable AI systems that deliver meaningful impact to tens of millions of NewsBreak users.

Foundational Requirements:

• Currently in the final semester of a Master's or PhD program in Computer Science (or a closely related field), or recently graduated from a top-tier university.
• Strong proficiency in at least one major programming (e.g., Python, Java, C++, Go).

Preferred Qualifications:

• Coursework, academic research, or hands-on projects in Machine Learning, Artificial Intelligence, NLP, Recommendation Systems, or Large Models
• Experience using ML frameworks and tools (e.g., PyTorch, TensorFlow, scikit-learn)
• Familiarity with data pipelines, model training, or evaluating ML models
• Prior internships or project experience involving ML-powered features, AI agents, or AIGC systems

We're seeking builders with diverse technical backgrounds, whether you're a full stack engineer, machine learning engineer, or mobile engineer, who are excited to solve real problems with cutting-edge AI technologies. If you're passionate about the latest advancements in AI, have built your own apps or projects, or naturally think with an entrepreneurial, ownership-driven mindset, you'll thrive in this program. We value candidates who are curious, hands-on, and eager to turn ideas into impact.

Hourly Pay for : $40-$50

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.Annual Base Pay Range$135,000—$1,550,000 USD

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