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Technical Artist

Оценка ИИ

Meshy — лидер рынка в перспективной нише 3D GenAI с топовыми клиентами (Meta, Square Enix). Работа предлагает уникальный опыт на острие технологий в быстрорастущем стартапе.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубоких знаний компьютерной графики (математика, UV, рендеринг) и навыков программирования на Python/C++ для работы с ИИ-пайплайнами. Высокий темп стартапа и работа на стыке исследований и продакшена добавляют сложности.

Анализ зарплаты

Медиана65 000 $
Рынок45 000 $ – 90 000 $
Оценка ИИ

Зарплата в объявлении не указана, но для позиции Technical Artist в Шанхае в сфере AI-технологий рыночные показатели обычно выше среднего по геймдеву из-за требований к знанию Python/C++. Предлагаемый диапазон отражает текущие ставки для специалистов среднего и старшего звена в технологическом секторе Китая.

Сопроводительное письмо

I am writing to express my strong interest in the Technical Artist position at Meshy. With a solid background in 3D production for games and film, combined with deep technical proficiency in Python and C++, I am excited about the opportunity to bridge the gap between cutting-edge GenAI research and creative production. My experience in optimizing texture pipelines and troubleshooting complex geometry and UV issues aligns perfectly with your mission to unleash creativity through automated 3D workflows.

Throughout my career, I have developed a keen eye for both technical efficiency and artistic quality. I am particularly drawn to Meshy's leadership in the generative AI space and your commitment to building a full pipeline for 3D content. I am confident that my skills in CG math, proficiency in tools like Blender and Substance Painter, and my passion for GenAI will allow me to contribute significantly to your Applied Research team and help standardize creative evaluation for your innovative products.

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Присоединяйтесь к лидерам в области 3D Generative AI и создавайте будущее цифрового контента вместе с Meshy!

Описание вакансии

Who We Are

At Meshy, we believe 3D creation should be boundless and accessible. Our mission statement is simple: unleash creativity. We built a full pipeline for 3D content ranging from text/image to 3D, texturing, texture editing, animation rigging, etc. We also built a vibrant community for our creators, where people can share their work, take inspiration from others, and even use it as an asset marketplace for their games and prototypes. We are the market leader in 3D generative AI, recognized as the No.1 in popularity among 3D AI tools (according to the 2024 A16Z Games survey), and we generate real value and are used by enterprises (including DNEG, Square Enix, Meta, etc.) and millions of end users. Meshy is used in game and film production, in 3D printing, in industrial product design, in the enablement of novel product features such as user-generated content, and even in training and simulation for robotics and physical AI.

Your Next Challenge

As a core member of the Applied Research team at Meshy AI, you will be the vital bridge between GenAI research and creative production. Your primary mission is to translate cutting-edge algorithmic concepts into robust production pipelines, build automated evaluation workflows, and ensure our model development is grounded in real-world artistic utility.

Key Responsibilities

  • Pipeline Triage & Optimization: Act as the first line of defense for texture generation pipelines. Troubleshoot daily anomalies, identify root causes (geometry, UV, or algorithmic), and implement rapid hotfixes while guiding next-generation model improvements.
  • Algorithm to Production: Collaborate closely with Machine Learning Engineers (MLEs) during new feature rollouts. Translate high-level algorithmic concepts into production-ready pipeline code and assist in technical debugging.
  • Automated Evaluation & Tooling: Design and execute automated batch evaluation pipelines to run results for the art team. Build and maintain artist-facing 3D workflows to streamline feedback and testing.
  • Standardize Creative Evaluation: Establish and maintain robust evaluation standards, translating customer goals into concrete test cases to define "what good looks like" for our GenAI outputs.

What We’re Looking For

  • Solid CG Math Foundation: Deep understanding of 3D content creation systems, specifically geometry, UV mapping, camera intrinsics/extrinsics, rendering basics, and coordinate space transformations.
  • Technical Proficiency: Strong coding skills (Python/C++) with a proven ability to read, modify, and maintain complex texture pipeline code.
  • Industry Experience: Solid background in real 3D production (games or film) and proficiency in standard tools (e.g., Blender, Substance Painter, Houdini).
  • GenAI Passion & Collaboration: Comfort with GenAI content creation and automated workflow development. Excellent communication skills to effectively bridge the gap between research (MLEs), art teams, and product.

A Little More about meshy.ai

Trusted by Meta, Square Enix, Deepmind and more, Meshy is redefining 3D creation with generative AI. We empower artists, designers, engineers, hobbyists, and makers to bring immersive worlds, characters, and experiences to reality in minutes instead of months. In addition to our core mission of unleashing creativity, we build a culture that we enjoy and are proud of. Here are some highlights:

  • We value intelligence and the pursuit of knowledge. We are a global team of generative-AI pioneers, computer-graphics veterans, and product builders who believe human expression and enjoyment is the ultimate frontier of computing.
  • We care deeply about our work, our users, and each other. Empathy and passion drive us forward. We have a culture of directness and truthfulness, therefore we value constructive criticism. Being direct and truthful is the most sincere form of trust and care.
  • We trust our instincts and are not afraid to take bold risks. Meshy was born from a few-hour prototype, a bold pivot for a team that had very little experience in AI. Innovation requires courage.
  • We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful. The same aesthetics permeate through our culture, our code and are the same: functional and beautiful.

Locations and work environment (CN)

Persons in these roles preferably should be able to spend part of their time on-site in our Shanghai, Shenzhen, or Beijing office. On-site requirements vary based on position and team, and we support fully remote options for exceptional candidates. If you have questions about hybrid or remote work arrangements for this role, please ask your recruiter. We are a fast paced startup and we work hard. You need to be able to:

  • Very clearly communicate information and ideas so others will understand.
  • Dive deep and observe details at close range.
  • Work under ambiguous problem and ambitious deadlines.
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Навыки

  • C++
  • Python
  • Generative AI
  • Houdini
  • Blender
  • Substance Painter
  • UV Mapping
  • 3D Rendering
  • Computer Graphics

Возможные вопросы на собеседовании

Проверка фундаментальных знаний CG, необходимых для отладки пайплайнов генерации текстур.

Можете ли вы объяснить математическую разницу между мировым пространством (world space) и пространством касательных (tangent space) в контексте наложения текстур?

Вакансия подразумевает роль связующего звена между инженерами и художниками.

Опишите случай, когда вам пришлось переводить сложное техническое ограничение алгоритма на язык, понятный художественному отделу. Как вы нашли компромисс?

Работа включает автоматизацию оценки качества генеративного контента.

Как бы вы спроектировали систему автоматизированной проверки качества (QA) для тысяч сгенерированных 3D-моделей, чтобы выявить проблемы с геометрией или артефакты текстур?

Требуется опыт работы с Python в контексте 3D.

Расскажите о самом сложном инструменте или плагине, который вы написали на Python для Blender или Houdini для оптимизации рабочего процесса.

Проверка способности работать в условиях неопределенности стартапа.

Как вы подходите к отладке аномалий в пайплайне, когда причина проблемы не очевидна и может лежать как в исходных данных, так и в самом алгоритме ИИ?

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meshy
Страна
Китай