At a Glance
- Tasks: Lead innovative deep learning projects to revolutionise waste management and sustainability.
- Company: Join Greyparrot, a pioneering tech company tackling the global waste crisis.
- Benefits: Enjoy competitive salary, hybrid working, generous holiday, and mental health support.
- Other info: Dynamic team culture with opportunities for professional growth and development.
- Why this job: Make a real impact on the environment while advancing your career in AI.
- Qualifications: 3+ years in deep learning, proficient in Python and PyTorch.
The predicted salary is between 60000 - 80000 £ per year.
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.
Qualifications
- 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 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.
Senior Deep Learning Research Engineer in London employer: greyparrotai
At Greyparrot, we are not just a workplace; we are a community dedicated to driving meaningful change in the waste recycling industry. With a strong focus on employee well-being, we offer competitive salaries, generous holiday allowances, and a robust learning and development budget to foster your professional growth. Our innovative work culture encourages collaboration and creativity, making it an exciting environment for those passionate about sustainability and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Deep Learning Research Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects, especially those using PyTorch. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in deep learning. Be ready to discuss your experience with object detection and classification, and how you've tackled real-world challenges in your previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our mission to revolutionise waste management.
We think you need these skills to ace Senior Deep Learning Research Engineer in London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for deep learning and sustainability shine through. We want to see how motivated you are to tackle real-world challenges and make a difference in the waste recycling industry.
Tailor Your Experience:Make sure to highlight your relevant experience with deep learning, especially in areas like PyTorch and model robustness. We love seeing how your skills align with our mission, so don’t hold back on those specific projects you've worked on!
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to describe your achievements and technical skills. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at greyparrotai
✨Know Your Deep Learning Stuff
Make sure you brush up on the latest research in deep learning, especially around object detection and classification. Be ready to discuss your experience with architectures like YOLO and ResNet, and how you've applied them in real-world scenarios.
✨Show Off Your Coding Skills
Since you'll be writing clear and efficient code in Python and PyTorch, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve numpy, scipy, and OpenCV.
✨Understand Their Mission
Greyparrot is all about tackling the waste crisis. Familiarise yourself with their mission and think about how your skills can contribute to increasing transparency and automation in waste management. This will show your genuine interest in the role.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the projects you'll be working on, and how they measure success in their deep learning initiatives. This shows you're engaged and serious about the opportunity.
