Intern Engineer - AI
- 4321 Still Creek Drive, Vancouver, BC, V5C 6S7, Canada
The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise. · Internship
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Job details
- Pay
- The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
- Job type
- Internship
- Posting language
- English
- Posted
Original job description
Huawei Canada has an immediate 4-month internship opening for an Intern Engineer.
About the team:
Established in 2012, the Central Media Technology Institute (CMTI) is Huawei's center for media technology innovation and engineering, enhancing the technical competitiveness of media products. Sitting within CMTI, the Graphics Technology Lab focuses on research and breakthroughs in photography, audio, video, computer graphics, XR, and codec standards to maintain the company's leadership in media technology. Our R&D team comprises skilled CG algorithm experts, researchers, software architects, and standards specialists dedicated to building core capabilities for an improved graphics experience.
About the job:
Conduct advanced research and engineering on VFX generation, procedural Shape/Texture/VFX generation to Support R&D.
Transfer the results of the advanced research on AI/CG solutions to solve real-world problems, and land them in various Huawei products.
Provide expert opinions on relevant fields by summarizing research findings in high-quality papers or patents.
The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
Bachelors of Science or higher in computer science or related fields with a focus on computer graphics, computer vision or machine learning.
Backgrounds in machine learning and deep learning, e.g., Symbolic regression, DNN, GAN, ViT, and Diffusion techniques
Experienced on dense estimation including but not limited to procedural generation SVBRDF, super-resolution, inpainting, neural rendering, etc.
Experienced in Python, PyTorch, TensorFlow, etc. and a track record of translating ideas into research prototypes quickly
More about this job
Responsibilities
Conduct advanced research and engineering on VFX and procedural generation to support R&D initiatives. Transfer AI and CG research results into practical solutions for Huawei products and document findings in papers or patents.
Requirements
Candidates must hold a Bachelor of Science or higher in computer science or a related field with a focus on graphics, vision, or machine learning. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is required.
Skills
- Computer Graphics
- Computer Vision
- Machine Learning
- Deep Learning
- Symbolic Regression
- DNN
- GAN
- ViT
- Diffusion Techniques
- Procedural Generation
- SVBRDF
- Super-resolution
- Inpainting
- Neural Rendering
- Python
- PyTorch
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Engineering
- Science & Research
- Software
- Creative & Media
Keywords
- AI
- Computer Graphics
- Computer Vision
- Machine Learning
- Deep Learning
- VFX
- Procedural Generation
- Symbolic Regression
- DNN
- GAN
- ViT
- Diffusion Techniques
- SVBRDF
- Super-resolution
- Inpainting
- Neural Rendering
- Python
- PyTorch
- TensorFlow
- R&D
- Research
- Engineering
- Algorithm
- Software Architecture
- Codec Standards
- XR