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Senior Deep Learning Research Engineer

Greyparrot
London

Apply Now

Job details

Full-time

Benefits

Cycle to work scheme
Sick pay

Qualifications

PyTorch
NumPy
Master's degree
Deep learning
SciPy
OpenCV
Python

Full job description

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.
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.

A few things to note:

Not open to recruiters.
Only applicants who have the right to work in the UK will be considered at this time.
Please note that we will filter screening questions for authenticity; pure AI-generated answers will result in automatic disqualification. We want to hear your voice and personal experience.
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.

Apply Now

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