Senior AI Research Engineer
- Vancouver, BC, Canada
On-site
Full-time
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Job details
- Job type
- Full-time
- Workplace
- On-site
- Posting language
- English
- Posted
Original job description
Huawei Canada has an immediate permanent opening for a full-time permanent Senior AI Research 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:
Develop and lead projects, team ideas, and mentor junior engineers.
Conduct advanced research and engineering on AI-based rendering techniques including but not limited to Neural Rendering acceleration, Neural material representation, Neural Texture Compression, etc.
Transfer advanced research AI/CG solutions to solving real-world problems that will be integrated in various Huawei products.
Provide expert opinions on relevant fields by summarizing research findings in high-quality papers or patents.
The total compensation for this position ranges from $121,000 to $230,000 depending on education, experience and demonstrated expertise.
What you’ll bring to the team:
Solid industry engineering level and experience over 5 years.
Industry work experience in CG related field over 3 years with hands-on development.
MSc / Ph.D. in computer science or related fields with a focus on applied ML to computer graphics or computer vision.
Extensive Background in machine learning and deep learning, e.g., DNN, GAN, ViT, and Diffusion techniques.
Experienced in neural representation/rendering such as NerF, Gaussian Splatting, neural rendering, procedural generation, SVBRDF, etc.
Experienced in Python, PyTorch, TensorFlow, etc. and a track record of translating ideas into research prototypes quickly.
Published Papers at relevant conferences or Journals such as SIGGRAPH, Eurographics, TOG, CVPR, ICCV, ECCV, TPAMI.
Experienced programming skills on shading languages, e.g., glsl, hlsl, etc.
Experienced in building large-scale machine learning solutions for general computer vision/graphics topics including model design, data collection/augmentation evaluation, etc.
More about this job
Responsibilities
The Senior AI Research Engineer at Huawei Technologies Canada will lead projects, mentor junior engineers, and research AI-based rendering methods. They will turn research into working solutions for Huawei products and publish findings in papers or patents.
Requirements
Candidates need over 5 years of engineering experience, including 3 or more years of hands-on graphics work, and an MSc or PhD in computer science or a related field. Strong skills in deep learning, neural rendering, Python, PyTorch and TensorFlow, plus publications at top graphics or vision venues, are expected.
Skills
- Neural rendering
- Deep learning
- Machine learning
- Computer graphics
- Computer vision
- Python
- PyTorch
- TensorFlow
- GLSL
- HLSL
- NeRF
- Gaussian Splatting
- SVBRDF
- Generative adversarial networks
- Vision Transformers
- Diffusion models
- Procedural generation
- Neural network model design
- Data augmentation
- Research prototyping
- Technical mentorship
- Scientific publishing
- Patent writing
Categories
- Technology
- Software
- Data & Analytics
Keywords
- AI research engineer
- neural rendering
- computer graphics
- deep learning
- machine learning
- neural texture compression
- neural material representation
- NeRF
- Gaussian Splatting
- SVBRDF
- GAN
- Vision Transformer
- diffusion models
- PyTorch
- TensorFlow
- Python
- GLSL
- HLSL
- computer vision
- SIGGRAPH
Seniority
Senior
Tools
- Python
- PyTorch
- TensorFlow
- GLSL
- HLSL
Fields of study
- Computer science
- Computer graphics
- Computer vision
- Machine learning