Senior Deep Learning Research Engineer

• 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.

This role directly reduces the global carbon footprint by applying cutting-edge Deep Learning to improve waste recycling systems, accelerating the transition to a circular economy.

• 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.

• 💰 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 of fresh fruit, tea, coffee, and healthy snacks every time you’re in the office.
• 👶 Enhanced Parental Leave: Experience comprehensive support with enhanced maternity, paternity, adoption, or shared parental leave.
• 🎓 Learning and Development Budget: Invest in your professional growth with a dedicated budget of £500 per year.
• 🧘‍♂️ 1-1 Mental Health Support: Prioritize your mental well-being with personalized support and 1-1 therapy provided by Spill.
• ☀️ Summer Friday Half-Days: Celebrate the warmer months with Friday half-days.
• 🚴 Cycling Benefits: Take advantage of our cycle to work scheme, allowing you to purchase a bicycle through salary sacrifice, saving at least 26%, or opt to rent a bicycle for up to 12 months.
• 💼 Home Office Budget: Enhance your remote work setup with a yearly budget of £500 dedicated to equipping your home office with the tools and resources you need for optimal productivity.
• 🌍 Nomad Working: Immerse yourself in the freedom of nomadic work with our 12-day allowance, usable within a 1-3 hour time difference.

Greyparrot's mission is to increase transparency and automation in waste management to accelerate the circular economy. They deploy camera systems and AI software in recycling plants worldwide to measure material flows and provide waste analytics.