Myrtle.ai does the engineering to make deep learning a low power, high performance reality today. From world-changing self-driving car projects to reducing the power consumption of the world’s data centers: we strive to use our expertise to transform the world today by making tomorrow’s AI run with unsurpassed efficiency on low power hardware. We’re a team of engineers and scientists with deep technical expertise who love a technical challenge in a friendly collaborative environment.
Your work could make a difference: come and join us and find out how!
We’re currently hiring full-time employees and graduate in the roles listed below.
Applicants for any of these positions should send a resume and covering email, clearly stating your suitability for the role and the Job Reference, to firstname.lastname@example.org. Please include any links to blog posts, repositories or any other relevant media which demonstrates your skill set. All roles will be based at our offices in central Cambridge, UK.
Every year we hire post-graduates / graduates and have paid summer internships. Some of our best people were originally interns with us. It’s a great way for you to find out about us and for us to see if we can help you reach your potential. If you’d like to know more please send us an email at email@example.com. What is it like joining us this way? In her own words Samantha spills the beans:
“Having previously never done an industry internship, I had no idea what to expect from my summer internship at Myrtle.ai Software. Regardless of whatever my expectations were, they were far exceeded. I had a fantastic time for two main reasons: the opportunity to properly contribute to interesting work, and the welcoming working environment. As an intern I had been initially worried that I would be given boring monkey work. However, this was not the case. I was given tasks that would have been done by the regular employees if I was not there. Additionally, during my time at Myrtle.ai my code was incorporated into the running system, meaning I got the reward of seeing it in action. From weekly Friday trips to the Cambridge food market to working together to defeat the “un-bread” in Overcooked 2 I really loved the sense of camaraderie in the Myrtle.ai office.
Each intern was working on something slightly different depending on their interests. For example, there was one helping on the machine learning side of things, while I got to work with my favourite thing: functional programming! My tasks were well structured in difficulty as I started by parallelising existing code, then progressed to adding new code to the system. I really enjoyed working on a bigger scale project than anything I had done at uni and improving my programming skill as I learned new things from my coworkers. The best part about working for Myrtle.ai was how valued I was made to feel. My code was put into use while I was there and I was even involved in discussions about what next steps would most improve the code base.
Part of feeling valued came from the great working environment. Peter (Founder) and Brian (Commercial Director) make a point of marking company achievements with a celebratory lunch out. Things like office trips to Nando’s really helped me develop friendships with my coworkers.
In the final week of the internship we were properly treated. Everyday at lunchtime an intern would present what they had done over the Summer and this talk would be accompanied by a take out. We had burritos, burgers, sushi, and pizza twice! I loved it. It was the best. I have never eaten so much food in my life. Oh, and I suppose it was also nice to hear about what the other interns did… In all seriousness having the interns give presentations listened to by the rest of the office was yet another way we were made to feel like valuable members of the Myrtle.ai team, providing a fitting end to a fantastic summer.”
Myrtle.ai is an equal opportunity employer. We value diversity at our company and are committed to creating an inclusive environment for all employees, providing equal opportunities to all persons without discrimination. We recognize the excellent benefits in having a diverse workforce from different backgrounds and employ solely on ability.