招聘
福利待遇
•Healthcare
•401(k)
•Equity
•Mental Health
•Parental Leave
•Learning
必备技能
Java
Go
Python
LangChain
LlamaIndex
Semantic Kernel
Prompt Engineering
RAG
Vector Databases
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 Unity’s revenue growth.
What you'll be doing
-
Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like Lang Chain, Llama Index, 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 we're looking for
-
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., Lang Chain, Llama Index, 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
We offer a wide range of benefits designed to support employees' well-being and work-life balance. You can read more about them on our career page.
Unity NYSE: U is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.
As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. 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 Web site 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.
Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
#SEN
**Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.
Gross pay salary**$148,700—$223,100 USD**
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关于Unity

Unity
PublicBest known for the development of Unity, a licensed game engine used to create video games and other applications.
1,001-5,000
员工数
San Francisco
总部位置
$2.5B
企业估值
评价
3.9
10条评价
工作生活平衡
3.2
薪酬
4.0
企业文化
4.1
职业发展
3.0
管理层
4.2
68%
推荐给朋友
优点
Flexible work arrangements (remote options, flexible hours)
Supportive and diverse team environment
Good leadership and mentorship
缺点
High stress and overwhelming workload
Poor work-life balance and long hours
Limited career advancement opportunities
薪资范围
30个数据点
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Data Scientist
1份报告
$208,000
年薪总额
基本工资
$160,000
股票
-
奖金
-
$208,000
$208,000
面试经验
3次面试
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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