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Senior AI Engineer (Asset Creation)

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

Canada

Offer summary

Qualifications:

5+ years of work experience, 2+ years of deep learning experience, Proficient in PyTorch/TensorFlow/Caffe, Skilled in C++ and Python.

Key responsabilities:

Evaluate and analyze asset tool concepts
Collaborate with AI lab for asset generation

NetEase Information Technology & Services XLarge https://ir.netease.com/

10001 Employees

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Job description

Senior AI Engineer（Asset Creation）

About NetEase Games：

As a leading internet technology company based in China, NetEase, Inc. (NASDAQ: NTES and HKEX:9999, “NetEase”) provides premium online services centered around content creation. With extensive offerings across its expanding gaming ecosystem, the Company develops and operates some of China’s most popular and longest running mobile and PC games. Powered by industry-leading in- house R&D capabilities in China and globally, NetEase creates superior gaming experiences, inspires players, and passionately delivers value for its thriving community worldwide. By infusing play with culture and education with technology, NetEase transforms gaming into a meaningful vehicle to build a more entertaining and enlightened world.

NetEase’s ESG initiatives are among the best in the global media and entertainment industry, earning it a distinction as one of the S&P Global Industry Movers and an “A” rating from MSCI. For more information, please visit: http://ir.netease.com/

Job Description:

Evaluate and analyze asset tool concepts proposed by the product team, screen potential solutions, and compare their advantages and disadvantages.
Collaborate with AI lab to implement solutions for asset generation.
Identify processes within the project that can be optimized using AIGC and conduct validation.

Conduct AIGC technology sharing within the project team

Job Requirements:

5 or more years of work experience and at least 2 years of deep learning experience.
Proficient in PyTorch/TensorFlow/Caffe or at least one of other mainstream deep learning frameworks.
Skilled in C++ and Python with solid mathematics skills, critical thinking, and great communication skills.
Familiar with basic deep learning algorithms, including but not limited to CNN/GAN/Decision Trees.
Strong understanding of AIGC technologies, staying updated with industry trends.
Quick learner with strong self-motivation, able to acquire and apply new knowledge effectively.
Experience in sports game development, preferably with experience in football-related projects.