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unity3d
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148 700 $ – 223 100 $
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SeniorВ офисеПолная занятость

Senior Machine Learning Engineer, AI Automation

Оценка ИИ

Отличная позиция в топовой технологической компании с конкурентной зарплатой и возможностью работать на острие технологий (GenAI, AI Agents) в масштабах Unity.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена требованием глубоких знаний в GenAI (LLM, RAG, MCP) в сочетании с серьезным опытом в распределенных системах (Java/Go/Python, Kafka) и стажем работы от 8-10 лет.

Анализ зарплаты

Медиана195 000 $
Рынок160 000 $ – 240 000 $
Оценка ИИ

Предлагаемая зарплата ($148k - $223k) полностью соответствует рыночным ожиданиям для Senior ML Engineer в Mountain View, где медиана составляет около $190k-200k без учета бонусов и акций.

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 specialized focus on building AI-powered systems, I am excited about the opportunity to contribute to Unity's world-class ad-tech ecosystem. My background in developing RAG applications and orchestrating LLMs using frameworks like LangChain and LlamaIndex aligns perfectly with your mission to modernize the core infrastructure and build next-generation AI agents.

In my previous roles, I have successfully deployed scalable backend systems and real-time data pipelines, which have directly impacted business growth. I am particularly drawn to this role because of Unity's unique position at the intersection of gaming and cutting-edge AI. I am eager to bring my expertise in vector databases, prompt engineering, and distributed systems to help Unity revolutionize the campaign experience for advertisers globally.

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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 NYSE: U] is the world’s 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 [www.unity.com.

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

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Python
  • Machine Learning
  • LLM
  • RAG
  • Apache Spark
  • Kafka
  • Distributed Systems
  • Java
  • Apache Flink
  • Generative AI
  • Go
  • LangChain
  • Pinecone
  • Vector Databases
  • Milvus
  • LlamaIndex

Возможные вопросы на собеседовании

Вакансия требует опыта работы с LangChain или LlamaIndex для создания агентных систем.

Расскажите о наиболее сложной проблеме, с которой вы столкнулись при оркестрации LLM, и как вы её решили?

В описании указано использование RAG и векторных БД (Pinecone, Milvus).

Как вы оптимизируете точность поиска в RAG-системах при работе с большими объемами корпоративных данных?

Упоминается протокол MCP (Model Context Protocol).

Каковы преимущества использования MCP для интеграции AI-моделей с внешними источниками данных по сравнению с кастомными API?

Роль предполагает работу с высоконагруженным рекламным стеком.

Как обеспечить низкую задержку (latency) в реальном времени при интеграции LLM в процесс аукциона или торгов?

Требуется опыт работы с распределенными системами и пайплайнами данных.

Опишите ваш опыт масштабирования систем на базе Kafka или Flink для обработки миллиардов событий.

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unity3d
Страна
США
Зарплата
148 700 $ – 223 100 $