Machine Learning Engineer
3 weeks ago
Job Overview:
We are seeking an experienced Senior Machine Learning Engineer to contribute to the development of cutting-edge technologies in game play and live streaming. As a member of our team, you will work alongside world-leading engineers to solve complex problems in machine learning, video streaming, and computer vision.
Key Responsibilities:
- Design and develop advanced deep learning architectures for graphics and video processing, including live video streaming and game rendering applications.
- Research and prototype new methods for fast graphics or video enhancement, leveraging expertise in computer vision and graphics.
- Draft publications and patent submissions in collaboration with other team members, highlighting innovative solutions and achievements.
- Collaborate with cross-functional teams within Sony Interactive Entertainment to advance core R&D work.
Requirements:
- MSc. in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics, or a related field, or equivalent skills demonstrated through relevant work experience.
- Strong background in TensorFlow or PyTorch, Python, and packages/libraries related to computer vision or graphics, as evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum 36 months experience).
- Expertise in one or more areas, including neural network architectures, design and testing of advanced convolutional, recurrent, transformer-based, or other neural network architectures, training, validation, and evaluation of deep neural network models on large datasets, or working experience with 3D engines such as Unreal or Unity.
Desired Qualifications:
- Publications in top-tier conferences and journals, such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, or conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR.
- Theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing.
- Solid experience in image processing theory and methods, as evidenced by practical designs in this area.
- Experience in using Docker containers or similar technologies.
Compensation and Benefits:
- Estimated salary: $140,000 - $170,000 per year, depending on location and experience.
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- Dental Scheme
- 25 days holiday per year
- On Site Gym
- Subsidised Café
- Free soft drinks
- On site bar
- Access to cycle garage and showers
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