Senior Deep Learning Research Engineer

At Greyparrot, we build the eyes of a circular economy and are dedicated to creating tangible value for the waste recycling industry, reinventing current systems to better our society. As a Senior Deep Learning Research Engineer, you will have the autonomy to propose, discuss, and implement the best solutions for our customers, pushing the boundaries of deep learning and developing internal tools to further automate research and analysis workflows.

Requirements

• 3+ years (5+ preferred) applying deep learning in industry settings.
• Experience with applying latest Deep Learning research in PyTorch
• Experience with active learning, semi-supervised learning, learning from noisy labels, model robustness (at least two)
• Experience with architectures such as YOLO, ViT, ResNet
• Ability to write clear, efficient, and scalable code using Python and PyTorch
• Experience with numpy, scipy, OpenCV, Albumentations
• Analytical detail-oriented mindset with strong abstract thinking and a solid theoretical understanding of neural networks

Benefits

• Competitive London-based salary
• Employee stock option scheme
• Customised hybrid working between office and home
• 25 Days Holiday plus Bank Holidays in UK
• Paid sick leave for physical and mental health needs.
• Unlimited Healthy Snacks
• Enhanced Parental Leave
• Learning and Development Budget
• 1-1 Mental Health Support
• Summer Friday Half-Days
• Cycling Benefits
• Home Office Budget
• Nomad Working