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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. The Team & Environment You will report directly to the Head of Deep Learning. You will work within a focused DL team and collaborate with a dedicated Data team You will also regularly interact with the wider company to ensure technical alignment across the organisation. If you live in London or within commuting distance, we’d like you to come into the office at least once a week. If you’re elsewhere in the UK, we ask you to come in once a month, and for our Quarterly All Hands.   What to expect from the role As a Senior Deep Learning Research Engineer, you are an architect of a sustainable future. You will have the autonomy to propose, discuss, and implement the best solutions for our customers.  If you are motivated by the challenge of applying cutting-edge Deep Learning in messy, real-world environments where your input directly reduces the global carbon footprint, you are in the right place. Key responsibilities Pushing the boundaries of deep learning by building upon the latest research in object detection and classification . Developing deep learning methods using best software development practices; training, analyzing, and reporting model performance. Developing internal tools to further automate research and analysis workflows. 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 Nice-to-have extras If they apply to your environment, these are attractive but not essential: Experience in the waste industry Startup or scale up experience _________________________________________________________________________________________ About Greyparrot The world is in a waste crisis. Currently we produce 2.1 billion tons of solid waste per year. Data collection of the waste we produce is non-existent, meaning no systematic transparency and no accountability. It means that recycling targets are not upheld, dumping of waste into our oceans remains nobody's responsibility, recyclables get sent to landfill or incineration, and producers get away with sub-standard packaging. Thus, recycling rates stubbornly remain at 10% and, unless we change, by 2040 the plastic stock in the ocean will have quadrupled - a problem that already costs society $1.5 trillion each year. Our mission is to increase transparency and automation in waste management to accelerate the circular economy. Currently, our camera system and AI software are deployed in recycling plants and waste facilities around the world to measure material flows and provide waste analytics. We have compiled a team of experts to deploy our technology and we’re looking to expand our team. On offer: 💰 Competitive London-based salary (salary band available upon application) + Employee stock option scheme 🏘️ Customised hybrid working between office and home 🏖️ 25 Days Holiday plus Bank Holidays in UK (or statutory country-equivalent if higher): Additionally, carry over up to 3 unused holiday days each new year. 💙 Paid sick leave for physical and mental health needs. 🍏 Unlimited Healthy Snacks: Fuel your day with a variety