Machine Learning Engineer Graduate (Ads Delivery) - 2027 Start

What you'll do

• Build and optimize delivery systems for pacing, allocation, traffic strategy, and delivery controls.
• Translate business goals into scalable delivery strategies and system designs; drive products from concept to launch with cross-functional partners.
• Own implementation, experimentation, launch, and iteration, using data to diagnose problems and improve systems.

What they ask for

• Completing or recently completed a bachelor's degree in Computer Science or a related discipline.
• Strong coding, debugging, and system design fundamentals.
• Proficiency in Go, C/C++, Java, Python, or similar languages.
• Experience with large-scale backend, recommendation, or advertising systems.

Nice to have

• Hands-on ads delivery experience in pacing, allocation, forecasting, traffic strategy, or guaranteed delivery; familiarity with reservation or guaranteed product models.
• Production experience applying LLMs or agent systems, or using LLM-assisted engineering workflows.

Tools

Go, C/C++, Java, Python, LLMs, RAG, MCP

AI focus

Preferred work includes applying LLMs or agent systems in production, including prompt engineering, RAG, fine-tuning, tool use or agent orchestration (e.g., MCP), and LLM-assisted engineering workflows.