Applied AI Engineer, Advertising Agents (New Grad)

NewsBreak • Mountain View, CA

75d • $135,000 - $155,000

About The Position

NewsBreak is seeking a recent graduate to join their advertising team as an Applied AI Engineer. This role focuses on applying Large Language Models (LLMs) and Agent technology to build an AI-driven intelligent account hosting and optimization platform. The engineer will work with senior engineers to develop AI advertising expert systems (AI Agents) that diagnose accounts and auto-tune delivery within a closed optimization loop. The goal is to lower the delivery barrier for global advertisers, maximize their willingness to spend, and increase platform revenue while ensuring the health and compliance of the account ecosystem.

Requirements

• Bachelor's/Master's degree (recently completed or completing within the next 6 months) in Computer Science, Artificial Intelligence, Data Science, or related fields.
• 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.
• 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.
• Solid grounding in machine learning and AI fundamentals.
• Strong analytical skills and eagerness to learn complex problem-solving in a production environment.

Nice To Haves

• 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.
• Exposure to deployment tools such as Docker or Kubernetes.

Responsibilities

• 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 identify account health signals and delivery pain points using performance data and delivery history, and assist in using LLMs to generate actionable, auditable account-level tuning strategies.
• Help build and maintain observability, dry-run safeguards, and offline/online evaluation pipelines to ensure measurable optimization quality and catch regressions before they impact live spend.
• Collaborate closely with senior engineers, the platform-side ad delivery algorithm team, and product managers to understand how AI account management capabilities translate into commercial impact.

Benefits

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Entry Level