Applied AI Engineer, Advertising Agents (New Grad) at NewsBreak
Mountain View, CA
$135,000–$155,000
Jul 27, 2026
Mountain View, CA
Jul 28, 2026
What this job asks for AI summary
An entry-level software engineering role on an advertising AI team, focused on building an AI-driven account management and optimization platform using LLMs and agent-based systems. The work involves implementing automated diagnosis, strategy recommendation, and closed-loop delivery optimization for advertisers. Suited to recent graduates with coursework or project experience in LLMs, ML, or agentic systems.
Junior level · Bachelor's required · Full-time
Pay in the description: $135,000–$155,000
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting explicitly targets recent graduates with no professional work experience required; the overall years minimum is effectively 0.
No specific work location is stated in the posting — the CBSA/metro is unknown. The salary range and benefits are US-based, so the US-based flag of true is assumed.
Docker and Kubernetes are listed together as optional deployment tools ('a plus'), so they are captured as a single preferred skill with the other as an alternative.
The degree requirement states Bachelor's or Master's; Bachelor's is treated as the minimum hard gate since it is listed first and no higher degree is mandated.
'Agentic systems' is retained as a named concept because the posting explicitly gates on it (coursework/project exposure to agent orchestration, MCP-style tool ecosystems) — it is the closest canonical name for this concrete technical area as described.
Advertising/recommendation system metrics (CPA, ROAS, CVR, CTR) and ads system experience appear only under Preferred Qualifications.
Read the full posting
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