At Klydo, we believe that too often ideas for innovation come from random moments of insight, resulting in the vast majority of innovation failing. As such, we are building technology that enhances creative thinking, enabling any team in any business to deliver breakthrough innovation. We've even given this new approach to innovation a name - klydoscope thinking.
Our first step to achieving this is developing a market insights tool with a creative edge. Using an inventive combination of machine learning and beautiful data visualisation, Klydo taps into the wealth of information that exists online and helps companies come up with their next breakthrough product idea. By understanding the why and how behind every product in a market, we can uncover the whitespace innovation opportunities - just imagine a tool that could have spotted the insight behind BrewDog, Deliveroo and Monzo before they did. That's where we're heading.
To help us on our journey, we've got the backing of world-class VC investors, including those behind Shazam, Zoopla and LoveFilm to name just a few. We've also signed up leading consumer brands to partner with and we'll be growing the team fourfold over the next year. We're excited to offer you the opportunity to be part of our founding team and play a major role in shaping Klydo from the beginning.
Why is this role important for Klydo's success?
We use state-of-the-art NLP techniques to understand the language of product innovation, automatically reading product descriptions to understand what drives a consumer to make a purchase. This is fundamental to our tool and we’re looking for an NLP Research Engineer who will lead our research agenda in this emerging field.
You’ll be taking on a key role in our engineering team, owning the core NLP processes in our data pipeline and collaborating with the whole team to develop more effective and creative ways of using them. Some of the technologies you will be working with include Python, Flask, Docker, Tensorflow and of course many, many more.
It's an exciting opportunity for you if you want to work at the cutting edge of NLP research and apply it to real-world use cases. You'll see your work directly contributing to the rapid growth of our company and you'll see the impact your work has for our clients as our technology helps them accelerate their product innovation.
You will be responsible for:
Setting our NLP/NLU research direction, with a focus on evaluation and implementation
Extraction and disambiguation of phrases from unstructured text data
Automatic summarisation/labelling of collections of text documents
Working with the rest of the team to integrate the models in production
Maintaining our training workflow; including annotation systems and feedback loops
Informing, iterating and challenging our NLP strategy
Relevant experience and mindset:
Ability to learn quickly and enjoy the fluidity of a dynamic startup environment
Strong background in natural language processing, statistical modelling and/or machine learning
Ability to lead the research agenda in a nascent field
Ability to build and deploy NLP/ML systems in production at scale
In-depth knowledge of Python
Passion for sharing what you've learnt and confidence to ask others for help
Never-ending curiosity for finding solutions to hard problems
What does Klydo offer you?
Make your mark
Immediately see the impact of your work
Be part of building the world’s most creative AI company
Be in control
Freedom to shape the work you do
Flexible working hours
Stay curious, keep learning
Training and development opportunities
Membership to a museum or gallery of your choice
Enjoy growing rewards
Competitive salary, stock options and a bonus every time we raise
25 days holiday and your birthday off
Have fun along the way
Vibrant co-working office environment
Klydo is an amazing business to be part of with an exciting vision and massive growth prospects. We celebrate diversity and as an equal opportunity, employer we are committed to creating an inclusive environment for all our employees. We'd love for you to join us.
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