Machine Learning Engineer/Senior ML Engineer (Gamedev)

TL;DR

Machine Learning Engineer/Senior ML Engineer (Gamedev): Developing and improving core generative models for graphics and video processing for game rendering and streaming systems with an accent on runtime efficiency, visual quality, and latency. Focus on researching new methods for graphics enhancement and building data generation pipelines using advanced neural networks.

Location: Hybrid (exact location not specified)

Company

hirify.global is a global leader in entertainment, producing the PlayStation family of products and services.

What you will do

• Develop core generative models for graphics and video processing for applications like live streaming and game rendering.
• Research and prototype new methods for graphics or video enhancement.
• Create data generation pipelines using generative models.
• Collaborate with the team to draft research publications and patent submissions.
• Participate in core R&D work across various teams within hirify.global.

Requirements

• PhD or MSc in Computer Science, AI, ML, Computer Graphics, or a related field.
• 3+ years of demonstrable research experience in industry or academia.
• Proficiency in Python, PyTorch, or TensorFlow, and related computer vision/graphics libraries.
• Proven experience in image/video/graphics processing or computer vision (3+ years for ML Engineer, 5+ years for Senior).
• At least one research publication in top-tier conferences such as CVPR, ECCV, ICCV, or SIGGRAPH.
• Strong knowledge of neural network architectures (convolutional, recurrent, transformer, or diffusion-based) and loss functions.

Nice to have

• Additional publications in top-tier journals like IEEE Transactions on Image Processing or conferences like NeurIPS, ICML, and ICLR.
• Theoretical understanding of the graphics pipeline (PBR materials, rasterization, lighting, and ray tracing).
• Experience with 3D engines such as Unreal or Unity, specifically in dataset generation and G-buffer extraction.
• Practical experience in image processing theory and methods.

Culture & Benefits

• Hybrid working model (Flexmodes).
• Discretionary bonus opportunity.
• Private medical insurance and dental scheme.
• 25 days of annual holiday.
• On-site facilities including a gym, subsidized café, bar, and cycle garage.