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职位NewsBreak

Engineering High-Potential Launch Program (3-Month Internship to Full-Time Program)

NewsBreak

Engineering High-Potential Launch Program (3-Month Internship to Full-Time Program)

NewsBreak

Mountain View, California, United States

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On-site

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Internship

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1mo ago

About News Break

Founded in 2015, News Break 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 2026
Conversion Opportunity: High-performing interns will be evaluated for full-time offers

About the Program

We're launching our 2026 Engineering Internship 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 of12 weeks, you’ll work closely with experienced engineers, gain hands-on mentorship, contribute directly to production systems, and help solve real challenges across News Break's ecosystem. This is a paid, on-site internship 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:

MSP Monetization – Mountain View, CA

MSP is our next-generation, AI-powered monetization platform that empowers publishers to unlock their full revenue potential with unmatched transparency and control. It combines intelligent optimization, real-time insights, and seamless ad management to help publishers confidently scale their business and maximize long-term growth.

Newsletter Systems – Mountain View, CA

Aigeon.ai is an exciting new product built by News Break, the leading platform for local news and information serving tens of millions of users across the United States. Aigeon is reimagining the newsletter and content-monetization space via AI: simplifying creation, audience growth, and monetization of newsletters for content creators and small media brands.

NBot – Mountain View, CA

Drive the optimization of conversational experiences that power our next-generation news recommendation engine, enabling more personalized, intuitive, and intelligent user interactions.

AI Initiatives – Mountain View, CA

This initiative explores cutting-edge NLP, generative AI, and multimodal technologies to power the next generation of content intelligence. The project includes building AI-driven content generation 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 News Break 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 language (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 Language Models

  • Experience using ML frameworks and tools (e.g., Py Torch, Tensor Flow, 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 internship: $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 News Break, 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**

CPRA Privacy Notice for California Candidates:

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关于NewsBreak

NewsBreak

NewsBreak

Series C

NewsBreak is a local news aggregation platform that uses AI to personalize news content for users based on their location and interests.

501-1,000

员工数

Mountain View

总部位置

$1.2B

企业估值

评价

4.0

10条评价

工作生活平衡

3.8

薪酬

2.7

企业文化

4.2

职业发展

2.5

管理层

4.0

72%

推荐给朋友

优点

Flexible working hours

Supportive team and management

Good work environment and culture

缺点

Limited growth and slow promotion process

Compensation and salary issues

High workload and overwhelming expectations

薪资范围

0个数据点

Intern

Intern · Data Scientist

0份报告

$169,150

年薪总额

基本工资

-

股票

-

奖金

-

$143,788

$194,512

面试经验

1次面试

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

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