Senior Machine Learning Engineer, AI Automation

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

The opportunity
At Unity we are building a world-class ad-tech ecosystem that connects billions of users with games and experiences they love. The Advertiser Growth team is at the heart of this mission owning the online ads delivery stack including auction pacing and bidding systems.

As a Senior Machine Learning Engineer you will be a key contributor to modernizing our core infrastructure and building the backend systems for next-generation AI agents that revolutionize campaign experience. This role offers the chance to solve complex system challenges at massive scale while directly influencing Unitys revenue growth.

What youll be doing

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.

What were looking for

You have a Bachelors/Masters 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.

You might also have

Ad-Tech Domain Context: Understanding of auction mechanics bidding algorithms or advertiser delivery funnels.

Additional information

Relocation support is not available for this position

Life at Unity

Unity NYSE: U is the worlds leading game engine powering play for more than 3 billion consumers each month. The top mobile games in the world the most played PC indie titles the most innovative console games and virtually all of the top XR and Web Games are developed deployed and grown in Unity. Unity also enables teams across industries like automotive manufacturing and healthcare to design simulate and collaborate in 3D closing the gap between ideas and reality. For more information please visit .

Unity is an equal opportunity employer committed to fostering an inclusive innovative environment with the best employees. Therefore we provide employment opportunities without regard to age race color ancestry national origin disability gender or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

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Required Experience:

Senior IC

The opportunityAt Unity we are building a world-class ad-tech ecosystem that connects billions of users with games and experiences they love. The Advertiser Growth team is at the heart of this mission owning the online ads delivery stack including auction pacing and bidding systems.As a Senior Machi...

What youll be doing

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.

What were looking for

You have a Bachelors/Masters 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.

You might also have