Unity South APAC (SEA, ANZ, IND Subcont.) · 2 hours ago
Senior Machine Learning Engineer, AI Automation
Mountain View, CA
Full-time
Onsite
Senior Level, Lead/Staff
$193K/yr - $289K/yr
8+ years expUnity South APAC is building a world-class ad-tech ecosystem that connects billions of users with games and experiences. The Senior Machine Learning Engineer will modernize core infrastructure and build backend systems for AI agents, addressing complex system challenges and influencing revenue growth.
Computer Software
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
Qualification
Required
You have a Bachelor's/Master's level degree in computer science or relevant engineering-related field or equivalent experience
You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products
You have a good foundational knowledge of or hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and prompt engineering using LLM APIs
Deep GenAI Knowledge: Expertise in LLM integration, prompt engineering, and the technical trade-offs of different model architectures for specific ad-tech use cases
RAG & Data Engineering: Hands-on experience with vector stores (e.g., Pinecone, Milvus, Weaviate), embedding models, and data orchestration for context-aware AI
MCP Protocol Mastery: Familiarity with the Model Context Protocol (MCP) to build interoperable 'plug-and-play' connections between AI models and local or remote data sources
Scalable Backend Foundations: Strong proficiency in Java, Go, or Python, with a background in building large-scale distributed systems and real-time data pipelines (Kafka, Flink, or Spark)
Experimental Mindset: A 'zero-to-one' approach to engineering, comfortable with rapid prototyping and iterative testing in a fast-paced environment
Preferred
Ad-Tech Domain Context: Understanding of auction mechanics, bidding algorithms, or advertiser delivery funnels
Company
Unity South APAC (SEA, ANZ, IND Subcont.)
Unity (NYSE: U) is the world’s leading platform for creating and operating real-time 3D (RT3D) content.
5001-10000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase