Applied AI Engineer, Advertising Agents (New Grad)
At a glance
Mid-level AI Engineering role at NewsBreak. Mountain View · $135,000–$155,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build parts of an AI account manager that hosts advertiser accounts, schedules optimizations and monitors concurrent activity
- Use performance data and delivery history to spot account issues, then help produce auditable tuning recommendations with LLMs
- Maintain monitoring, dry-run protections and evaluation workflows to measure optimization quality and catch regressions
- Work with senior engineers, ad delivery algorithm teams and product managers to develop account management capabilities
What you bring
- A relevant bachelor's or master's degree, recently completed or due within six months
- Hands-on exposure to agent systems, plus working knowledge of LLMs, RAG, tool use and agent orchestration
- Strong software fundamentals, including testable code and familiarity with asynchronous or concurrent programming
- Experience with schema-checked LLM outputs, model APIs and REST integrations, gained through projects or other work
Who this fits
This is an early-career role for a recent graduate interested in applying LLMs and agent technology to advertising systems. You’ll learn alongside senior engineers and collaborate with platform ad-delivery engineers and product managers. The role is based in Mountain View.
From the employer
About NewsBreak
Local life runs on local information. What happened down the street? Who can fix this? Where should we go tonight? NewsBreak started in 2015 to answer these questions, and today more than 40 million people a month rely on us to follow what’s going on in their zip code.
Three platforms with one vision: powering local life. Led by founder and CEO Jeff Zheng, NewsBreak is our local life and news platform; Nearby AI connects people with local businesses; and NDot AI helps publishers and creators grow and earn.
Building for the long term. A $115 million Series C made us a unicorn in 2021, and we keep investing in our people. We’re Great Place to Work® certified and named to Fast Company’s Best Workplaces for Innovators (2025) and Fortune’s Best Workplaces in the Bay Area™ (2026).
Everyone makes an impact. Whether you write code, shape products, tell our story, or run the business, we want people who own projects end to end, stay curious, and speak up. Join us.
Learn more at: NewsBreak, Nearby AI, NDot AI
About the Role
Are you a recent graduate excited to apply LLMs and Agent technology to real advertising products from day one? Join our advertising team to help build an AI-driven intelligent account hosting and optimization platform. You'll work alongside senior engineers to develop AI advertising expert systems (AI Agents) that diagnose accounts and safely auto-tune delivery in a closed optimization loop.
Your work will directly lower the delivery barrier for global advertisers on our platform. While ensuring the health and compliance of the account ecosystem, your contributions will help maximize advertisers' willingness to spend and platform revenue.
Responsibilities
- Contribute to the In-house AI Account Manager System: Support the design and implementation of components of the "AI Account Manager," including automated hosting, optimization scheduling, and monitoring across concurrently running advertiser accounts.
- Help Build Intelligent Diagnosis and Strategy Recommendation Models: Work with performance data and delivery history to help identify account health signals and delivery pain points (such as inability to scale volume, sudden drops in ROI, or budget capping); assist in using LLMs to generate actionable, auditable account-level tuning strategies.
- Support Reliability and Measurable Quality: Help build and maintain observability, dry-run safeguards, and offline/online evaluation pipelines that keep optimization quality measurable and catch regressions before they reach live spend.
- Collaborate and Learn: Work closely with senior engineers, the platform-side ad delivery algorithm team, and product managers, gaining exposure to how AI account management capabilities translate into commercial impact.
Minimum Qualifications
- Education Background: Bachelor's/Master's degree (recently completed or completing within the next 6 months) in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Work Experience: No professional work experience required; relevant internships, research, coursework, or personal projects involving LLMs, agents, or ML are a plus. Exposure to building or experimenting with agentic systems (e.g., through coursework, hackathons, internships, or personal projects). Solid software-engineering fundamentals: ability to write clean, testable code; familiarity with asynchronous/concurrent programming and typed/data-modeled code.
- Core Technical Stack: Foundational understanding of LLMs, RAG, tool-use, and agent orchestration concepts (including MCP-style tool ecosystems), gained through coursework, projects, or self-study. Some hands-on experience with structured/schema-validated LLM outputs and modern model APIs (e.g., through class projects or internships). Familiarity with REST/API integration; exposure to deployment tools such as Docker or Kubernetes is a plus. Solid grounding in machine learning and AI fundamentals. Strong analytical skills and eagerness to learn complex problem-solving in a production environment.
Preferred Qualifications
- Internship or research experience involving large language models, agent-based systems, or recommendation/ads systems.
- Exposure to advertising or recommendation system concepts and metrics (CPA, ROAS, CVR, CTR, conversions).
- Personal or academic projects demonstrating initiative in building AI agents or automation tools.
What We Offer
- A Launchpad for Applied AI Careers: Learn to apply cutting-edge Generative AI and Agent technologies to reshape the B-end ad monetization ecosystem, with mentorship from senior engineers.
- Direct Commercial Impact: See your contributions reflected in real advertiser growth and the platform's revenue flywheel.
- Top-tier Computing Resources and Environment: Access to industry-leading foundation models, large-scale computing infrastructure, and the opportunity to learn alongside world-class advertising, AI, and infrastructure engineers.
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
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