Our Corporate Venture team, NexBreak Venture, is seeking a MBA (Product Engineering) Intern focused on AI, Content Innovation to ideate, validate, and launch products from concept to early traction. You will work at the intersection of technology, product, and entrepreneurship to turn emerging AI capabilities into scalable businesses. 

About the Role

We are seeking an AI Development Engineer to join our AI and machine learning team. This role focuses on multimodal machine learning modeling (audio, video, image, text) and the development of AIGC systems and AI agents.

You will work on translating state-of-the-art research into scalable, real-world AI systems, including virtual humans, text-to-image, and text-to-video generation. You will collaborate closely with research, engineering, and product teams to advance next-generation multimodal and generative AI technologies.

Responsibilities

• Design and develop multimodal ML models for understanding and generation across audio, video, image, and text
• Build AIGC systems, including virtual humans, text-to-image, and text-to-video models
• Develop AI agent systems, covering reasoning, planning, tool usage, and multi-agent collaboration
• Convert cutting-edge research into scalable, production-ready AI systems

Requirements

• 2+ years of relevant industry experience or a PhD in Computer Science, AI, Machine Learning, or a related field
• At least two publications in top-tier AI/ML conferences or journals, such as
  NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, SIGGRAPH, or TPAMI
• Research experience in multimodal AI or AIGC, including generative models, virtual humans, or text-to-image / text-to-video
• Strong ML/DL foundation with hands-on experience in one or more of:
• Large Language Models (LLMs)
• Multimodal models
• Diffusion models
• Computer vision / video understanding and generation
• Audio and speech processing
• Proficiency in Python with solid engineering and problem-solving skills

Preferred Qualifications

• Experience or knowledge in frontend or client-side development, with an understanding of how AI systems integrate into user-facing products, including:
• Web frontend development:
• JavaScript / TypeScript
• Modern frameworks such as React or Vue
• API integration and data visualization
• iOS development:
• Swift and/or Objective-C
• Familiarity with iOS app architecture and performance considerations
• Android development:
• Kotlin and/or Java
• Understanding of Android app architecture and system constraints

Experience integrating AIGC or AI agent systems into real-world products is a strong plus

Benefits

We offer a competitive benefits package:

• Health, dental, and vision care for you and your family (100% coverage for employee)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• FSA, HSA and commuter benefits programs
• Team activity budget

What we do

• We build a consumer app with a strong focus on product quality and fast iteration. Small team, high ownership, real production impact

Responsibilities

• Build and ship core app experiences end-to-end (screens, state, networking, navigation)
• Integrate with backend APIs to deliver key user flows (auth, feed, interactions, etc.)
• Improve performance and reliability: startup time, smooth scrolling, memory usage, crash-free sessions
• Work closely with product/design/engineering to iterate quickly and make strong trade-offs
• Help prototype and integrate AI-powered features (scope depends on the project)

Requirements

• App development experience (required): React Native / Flutter / native iOS / native Android — able to ship production-grade screens and integrate APIs
• Strong fundamentals in software engineering: clean code, modularity, debugging, and Git-based collaboration
• Solid understanding of mobile/client fundamentals: network requests, caching, async programming, and performance profiling
• AI/ML knowledge (required): familiar with classic + modern model families and how they’re used in products (e.g., CNN/RNN/Transformer, LLMs, multimodal models). Can reason about capabilities, limitations, and practical integration patterns
• Strong communication and a “ship-it” mindset in ambiguous, fast-moving environments

Preferred Qualifications

• Experience shipping a 0→1 mobile app or owning a feature end-to-end
• Familiarity with on-device ML concepts, model inference constraints, or edge optimization
• Experience with experimentation/metrics, analytics instrumentation, or A/B testing
• Backend exposure (APIs, databases, caching) is a plus but not required

Hourly Pay for Intern: $40-$50

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 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 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 NewsBreak, 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 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 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., 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 internship: $40-$50

About the Role

You are the "Navigator" of the App Matrix strategy. Leveraging NewsBreak's mature traffic pool, you will identify market opportunities and define brand-new products. This role requires exceptional business acumen, data-driven insights, and the decisiveness to validate ideas through MVPs in an ambiguous environment.

Responsibilities

• 0-to-1 Strategy: Lead the full product lifecycle from opportunity discovery and MVP definition to global scaling.
• Data-Driven Growth: Design scientific A/B tests and analyze user behavior data to iterate products and optimize acquisition, retention, and engagement.
• Product Vision: Define long-term roadmaps, ensuring powerful synergy between matrix products and the core NewsBreak ecosystem.
• Cross-functional Leadership: Act as the product owner to drive Design, Engineering, and Marketing teams, removing blockers to ensure timely, high-quality delivery.

Requirements

• Minimum Qualifications:
1. 5+ years of experience in B2C mobile internet products (Content, Social, or Utility apps).
2. Proven track record of successfully launching a product from 0 to 1 and achieving Product-Market Fit (PMF).
3. Exceptional analytical skills; expert in SQL and user behavior analysis tools.
• Preferred Qualifications:
1. Global product vision and understanding of the US mobile internet market trends.
2. High aesthetic standards for UI/UX and strong user empathy.

Benefits

We offer competitive benefits package:

• Health, dental, and vision care for you and your family
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• Paid parental leave
• FSA and commuter benefits programs
• Team activity budget

Location: Mountain View, California, United States

About the Role

As a core member of the App Matrix strategic team, you will lead the 0-to-1 development of next-generation mobile products. You will not only ensure the extreme performance and scalability of NewsBreak’s flagship app but also architect new product lines from scratch. We are looking for a builder who is obsessed with performance and can translate technical excellence into significant business impact.

Responsibilities

• Lead Architectural Design: Drive the 0-to-1 iOS architecture for new products, balancing rapid iteration with long-term system maintainability.
• Performance Excellence: Tackle deep technical bottlenecks such as memory management, startup time, and UI fluidity to elevate the user experience for tens of millions of DAU.
• Drive Innovation: Provide innovative technical solutions for the App Matrix from an engineering perspective to enable rapid validation and growth of business goals.
• Engineering Standards: Mentor junior engineers and optimize engineering standards, including Code Reviews, automated testing, and CI/CD pipelines

Requirements

• Minimum Qualifications:
1. Bachelor’s degree or above; 3+ years of professional experience in iOS platform development.
2. Proficiency in Objective-C / Swift.
3. Deep understanding of network communication mechanisms and data transfer protocols; proven experience in weak network optimization.
4. Hands-on experience in encapsulating client-side common underlying libraries and SDKs.
5. Excellent communication skills and team spirit; obsessed with technology and user experience; capable of working under high pressure.
• Preferred Qualifications:
1. Strong product and business sense.
2. Experience with the following: JavaScript, RxSwift, IGListKit, fastlane, or Protocol Buffers.

Benefits

We offer competitive benefits package:

• Health, dental, and vision care for you and your family (0 cost for individual)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• Paid parental leave
• FSA and commuter benefits programs
• Team activity budget

About the role:

We’re hiring a Machine Learning Infrastructure Engineer to help build the backbone that trains, serves, and monitors the models behind our Ads and Recommendations products. You’ll join a small, high-ownership team that ships platform improvements end-to-end—partnering with product and data teams, reducing latency and cost, and shortening the path from an idea to a safely launched model.

You’ll work across the ML lifecycle: making training faster and more reliable, improving model serving performance, and strengthening our feature/embedding platform so models stay fresh and consistent between offline and online use. We’re looking for someone who can take real ownership, finish what’s started, and raise the bar on stability and developer experience.

Why this role

• Scope & impact: small team, big surface area—your work lands directly in production.
• Ownership: from design to rollout to post-launch learnings; real autonomy with support.
• Growth: visibility across the stack and a clear path to lead projects and mentor others.
• Pragmatic culture: we optimize for outcomes over buzzwords, and we value clear thinking, and follow-through.

If you like building reliable systems that make ML teams move faster—and you enjoy turning complexity into simple, durable solutions—we’d love to talk.

Responsibilities

• Design and develop machine learning infrastructure.
• Own and enhance core components of the ML infrastructure, including systems for offline and online model training, model pipeline health monitoring, model serving, feature authoring, and feature serving.
• Proactively address ML infrastructure issues that may impact production.
• Collaborate with ML engineers to build robust model pipelines utilizing the ML infrastructure.

Requirements

• Education: Bachelor's degree in a related field with 5+ years of relevant experience, or MS/PhD in a related field with 3+ years of relevant experience
• Experience delivering production systems that support ML use cases (training or serving).
• Proven track record in building and maintaining large-scale distributed backend systems
• Proficient in Python, with a strong understanding of object-oriented languages such as C++ or Java
• Strong problem solving skills with good teamwork and communication skills

Preferred qualifications

• Experience leading cross-team projects from design through stable rollout.
• Experience iterating on ML models and shipping them to production.

Benefits

About the Role

We are seeking a Staff Machine Learning Engineer to provide technical leadership for our recommendation systems and AI initiatives.

In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows.

This role is ideal for engineers who enjoy system-level thinking, mentoring others, and turning ambiguous problems into scalable solutions.

What You’ll Work On

Technical Leadership & Architecture

• Lead the design of next-generation recommendation system architectures at scale.
• Drive best practices for model lifecycle management, experimentation, and system reliability.
• Partner with product, infra, and data teams to align technical strategy with business goals.

Advanced Recommendation & AI Systems

• Own complex initiatives across retrieval, ranking, re-ranking, and multi-objective optimization.
• Lead the application of LLMs and foundation models in recommendation, content intelligence, and user modeling.
• Evaluate emerging AI technologies and guide their adoption into production systems.

AI-Native Engineering

• Champion AI-native development practices, including LLM-assisted coding, experimentation, and analysis.
• Help establish standards and shared tooling for AI-driven engineering.

0 → 1 Innovation & Scaling

• Lead 0–1 AI initiatives, from ideation and technical validation to production rollout and scaling.
• Ensure successful prototypes evolve into maintainable, scalable platforms.

What We’re Looking For

Minimum Qualifications - 8+ years of industry experience building large-scale ML or recommendation systems. - Deep expertise in recommendation systems and applied machine learning in production environments. - Strong system design skills and the ability to influence architecture across teams. - Proven track record of technical leadership and cross-team collaboration.

Bonus / Plus Qualifications - Demonstrated success applying LLMs or foundation models to recommendation or content systems in production. - Experience leading 0 → 1 AI platform or product initiatives. - Passion for improving engineering velocity through AI-assisted development workflows.

Benefits

We offer a competitive benefits package:

• Health, dental, and vision care for you and your family
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• Paid parental leave
• FSA and commuter benefits programs
• Team activity budget