Deep Learning Engineer

A typical day in this role looks like: 

• Developing solutions using the latest Deep Learning methods in areas of object detection, classification and semantic segmentation.

• Implementing and modifying machine learning methods using best software development practices.

• Train, analyse and report model performance.

• Develop tools for further automating research and analysis.

• Pushing the boundaries of what deep learning can do by following and building upon the latest research.

• You will be joining a team of 2 Deep Learning Engineers and 1 ML Ops Engineer, as well as a 4-person deep Data team. You’ll have the ability to work across our material and product recognition products.

• 3+ years experience of applying machine learning and deep learning methods in the industry

• Experience in developing practical deep learning applications using detection architectures (Faster-RCNN, SSD, YOLO, EfficientDet)

• Solid theoretical understanding of machine learning and neural networks

• Experience with machine learning methods, such as active learning, clustering, semi-supervised learning, out-of-distribution, zero- and few-shot learning

• Solid hands-on software development skills in Python (numpy, scipy, scikit-learn, OpenCV)

• Ability to write clear, efficient and scalable code

• Experience with one or more Deep Learning Framework (Pytorch, Tensorflow)

• Analytical mindset, strong abstract thinking skills

It would be a plus if you had:

• Publications in machine learning, computer vision or related field

• Familiarity with C++

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 (open to remote working)

• 25 days holiday each year, plus bank holidays

• Paid sick leave for physical and mental health needs

• Unlimited fresh fruit, tea, coffee and healthy snacks

• Enhanced maternity, paternity, adoption or shared parental leave

• Cycle to work scheme

A few things to note: 

• Applications are reviewed on a rolling basis.

• Only applicants who have the right to work in the UK will be considered at this time.

• We are 100% committed to building a diverse and representative team. Whatever your race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability - we want to hear from you.

• If you don’t quite match everything above but you feel you can succeed in this role, please still apply.