Senior Machine Learning Engineer, AI Automation

About This Role

This role involves modernizing Unity's core infrastructure and building backend systems for next-generation AI agents that revolutionize campaign experiences within a world-class ad-tech ecosystem. The engineer will solve complex system challenges at massive scale and directly influence Unity’s revenue growth.

Responsibilities

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel
• Develop Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning

Requirements

• Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience
• 8-10+ years of software engineering experience
• 1-2+ years working on AI-powered systems or products
• Foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs
• Expertise in LLM integration, prompt engineering, and the technical trade-offs of different model architectures for specific ad-tech use cases
• Hands-on experience with vector stores (e.g., Pinecone, Milvus, Weaviate), embedding models, and data orchestration for context-aware AI
• Familiarity with the Model Context Protocol (MCP)
• Strong proficiency in Java, Go, or Python
• Background in building large-scale distributed systems and real-time data pipelines (Kafka, Flink, or Spark)

Qualifications

• Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience
• 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products

Nice to Have

• Understanding of auction mechanics, bidding algorithms, or advertiser delivery funnels

Skills

* Required skills

Benefits