- Страна
- США
- Зарплата
- 148 700 $ – 223 100 $
Откликайтесь
на вакансии с ИИ

Senior Machine Learning Engineer, AI Automation
Unity — лидер индустрии с огромным охватом аудитории, что гарантирует работу над масштабными задачами. Позиция предлагает конкурентную зарплату, работу с самым современным стеком (GenAI, MCP) и возможность напрямую влиять на выручку компании.
Сложность вакансии
Высокая сложность обусловлена требованием 8-10 лет опыта в разработке ПО и глубоких знаний в специфических областях: LLM, RAG, векторные БД и протокол MCP. Роль предполагает работу с высоконагруженными системами в сфере Ad-Tech, что требует исключительных навыков в распределенных вычислениях.
Анализ зарплаты
Предлагаемый диапазон $148k – $223k полностью соответствует рыночным стандартам для Senior ML ролей в Нью-Йорке. Верхняя граница даже несколько превышает медиану, что характерно для крупных технологических компаний уровня Unity.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Machine Learning Engineer position within the Advertiser Growth team at Unity. With over 8 years of experience in software engineering and a focused expertise in building AI-powered systems, I am excited about the opportunity to modernize Unity's core ad-tech infrastructure using LLMs and agentic workflows. My background in developing RAG applications and working with orchestration frameworks like LangChain aligns perfectly with your mission to revolutionize the campaign experience.
In my previous roles, I have successfully deployed large-scale distributed systems and real-time data pipelines, which I believe will be instrumental in scaling Unity's auction and bidding systems. I am particularly impressed by Unity's commitment to the Model Context Protocol (MCP) and am eager to apply my experience with vector databases and prompt engineering to deliver measurable business value. I look forward to the possibility of contributing to a team that sits at the intersection of gaming, ad-tech, and cutting-edge AI.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в unity3d уже сейчас
Присоединяйтесь к Unity и создавайте будущее рекламных технологий с помощью передовых AI-агентов и LLM!
Описание вакансии
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 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 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., 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 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.
Your privacy is important to us. Please take a moment to review ourProspect andApplicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
#SEN #LI-AR1
\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
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- Machine Learning
- LLM
- RAG
- Apache Spark
- Kafka
- Distributed Systems
- Java
- Apache Flink
- Go
- LangChain
- Pinecone
- Vector Databases
- Milvus
- LlamaIndex
Возможные вопросы на собеседовании
Проверка практического опыта работы с LLM и понимания ограничений фреймворков.
Расскажите о наиболее сложной проблеме, с которой вы столкнулись при использовании LangChain или LlamaIndex, и как вы её решили?
Оценка навыков оптимизации RAG-систем для работы с большими данными.
Как бы вы спроектировали систему RAG для минимизации задержек (latency) при поиске в векторной базе данных объемом в миллиарды записей?
Проверка знаний современного протокола MCP, указанного в требованиях.
В чем преимущество использования Model Context Protocol (MCP) по сравнению с традиционными методами интеграции инструментов в AI-агентов?
Оценка опыта работы с высоконагруженными системами, критически важными для Ad-Tech.
Опишите ваш опыт работы с Kafka или Flink в контексте обработки данных в реальном времени для ML-моделей.
Проверка способности принимать архитектурные решения в условиях неопределенности.
Как вы выбираете между использованием готовой LLM через API и дообучением (fine-tuning) собственной модели для конкретной задачи в рекламных технологиях?
Похожие вакансии
AI Engineer (CV & Navigation)
Senior / Lead LLM Engineer
Middle, Middle+, Senior GenAI/LLM Разработчик
Senior Python AI Developer
GenAI/LLM Разработчик
Middle / Senior GenAI Engineer (CV)
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 148 700 $ – 223 100 $