Machine Learning Research Engineer

London, England, United Kingdom · Engineering

Description

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 an innovation research 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 insights behind BrewDog, Halo Top and Dollar Shave Club 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 a range of state-of-the-art semi-supervised and unsupervised ML algorithms to cluster text data into semantically similar themes. This is fundamental to our product and as such, we’re looking for an ML Research Engineer who will help us advance our existing ML technology even further through researching and developing completely novel methods and techniques.

You’ll be taking on a key role in our engineering team, owning the core ML 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 on a variety of cutting edge ML research challenges, and apply them 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:

Requirements

Benefits

Make your mark

Be in control

Stay curious, keep learning

Enjoy growing rewards

Have fun along the way


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.


Sparked your curiosity?

Apply for this job