Applied AI Engineer, Advertising Agents

NewsBreak • Mountain View, CA

5d • $135,000 - $185,000 • Onsite

About The Position

NewsBreak is seeking an AI Engineer to join their advertising team. This role involves designing, developing, and optimizing an AI-driven intelligent account hosting and optimization platform. The engineer will utilize LLMs, Multimodal Foundation Models, and related techniques to build AI advertising expert systems (AI Agents) that operate in a closed optimization loop, autonomously diagnosing accounts and tuning delivery. The work aims to lower the delivery barrier for global advertisers, maximize advertiser spending willingness, and increase platform revenue while ensuring account ecosystem health and compliance.

Requirements

• Bachelor's/Master's degree or higher in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Possess a basic understanding of fields such as ad delivery platforms or recommendation systems; fresh graduates are acceptable.
• Familiar with building, deploying, and optimizing agentic systems in production environments.
• Strong software-engineering fundamentals: production-quality code, asynchronous/concurrent programming, typed and data-modeled code, and a solid testing discipline.
• Master LLMs, RAG, tool-use, memory handling, and agent orchestration (including MCP-style tool ecosystems).
• Hands-on with harness engineering, structured/schema-validated LLM outputs, and integration with modern model APIs.
• Experience with REST/API integration and building reliable long-running services; familiar with modern deployment tools such as Kubernetes.
• Solid grounding in machine learning and AI fundamentals; familiar with advertising or recommendation system concepts.
• Possess excellent analytical and complex problem-solving abilities.

Nice To Haves

• Algorithm experience in the field of ad delivery, with more than 2 years applying large-model capabilities to systems such as automated delivery, automated hosting, autonomous tuning, or automatic scheduling.
• Experience landing commercial AI agents (agent-based systems), large-model instruction tuning, or multimodal models.
• Understanding of digital advertising mechanics and core metrics (CPA, ROAS, CVR, CTR, conversions) and of online A/B experimentation.

Responsibilities

• Build In-house AI Account Manager System: Own the algorithm and system design for the core "AI Account Manager" — realizing automated hosting, autonomous optimization, and intelligent scheduling of optimization across many advertiser accounts running concurrently.
• Construct Intelligent Diagnosis and Strategy Recommendation Models: Analyze advertisers' performance data and delivery history to assess account health and automatically diagnose delivery pain points (such as inability to scale volume, sudden drops in ROI, or budget capping), then use LLMs to generate and safely execute actionable, auditable account-level tuning strategies.
• Ensure Reliability and Measurable Quality: Build the long-running services, observability, dry-run safeguards, and offline/online evaluation that keep optimization quality measurable and catch regressions before they reach live spend.
• Cross-team Collaboration to Drive Growth: Work closely with the platform-side ad delivery algorithm team and product managers to transform AI account management capabilities into the platform's core commercial competitiveness, improving advertiser retention rate and overall consumption.

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