Work at the heart of an exciting AI start-up and…
- Influence the future
- Learn and develop your skills
- Expand your role as you grow
Your work will make a difference
Join the Myrtle.ai Team
We are always looking for brilliant minds to join our team. These include full-time, part-time, graduate, and intern positions. If you have experience in Computer Science, Mathematics, Software Design, Digital Circuit Design or Machine Learning, we’d love to hear from you! We are an equal opportunities employer and we value diversity. Please send us your CV at careers@myrtle.ai if any of the positions suit you.
OPEN POSITIONS
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 careers@myrtle.ai 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.
- Master’s or PhD in related scientific or engineering field.
- Good theoretical understanding of machine learning/deep learning.
- Experience using modern machine learning frameworks such as PyTorch, TensorFlow or MXNet.
- Imperative language. e.g. Python, C++.
- Development under Linux, including Git and OSS.
- Attention to detail, good communication and documentation skills.
- Use of cloud computing. e.g. AWS, GCP or Microsoft Azure.
- Experience of training models for reduced precision inference.
- Experience of targeting a range of inference platforms.
Machine Learning Engineer
We are looking for machine learning engineers to join our diverse group of engineers and researchers to develop and deploy state-of-the-art deep learning models using Myrtle.ai’s inference solutions.
This multifaceted role will involve training and compressing the latest deep learning models for workloads related to a wide variety of applications, especially in recommendation, speech, NLP and vision. You will also develop and ship customer-facing libraries that integrate state-of-the-art model compression research and techniques.
The candidate must be detail oriented, have a good theoretical understanding of machine learning and have practical deep learning model development experience. As part of the role, you will keep up to date with the latest research for new algorithm architectures, training techniques and model optimisation techniques for inference. We are looking for candidates with a strong desire to explore active research and share their ideas to inform the ML algorithms and techniques used by the company.
For more information about this role or to express your interest please submit your CV with a covering letter to careers@myrtle.ai referencing ML Engineer – July 2021. Strictly no agencies
Key Responsibilities
Qualifications and Experience
Our Team
We are a team of engineers and scientists with deep technical expertise who love a technical challenge in a friendly collaborative environment.
We want to revolutionize AI by empowering individuals. Being part of Myrtle.ai means being a large part of a small organisation instead of a small part of a large organisation. This confers great individual responsibility and offers great opportunities. At Myrtle.ai our employees support our core values and through that we can improve the future as a team.
Joining Myrtle.ai means working side-by-side with people impassioned to change the world through AI and to help each other along the way. Our team is mission-driven, fun-loving, and family-oriented. We bring the best of AI technologies to the brightest of customers. We do this through collaborative working and individual development. Through these efforts, our team stands out in Cambridge as a beacon of people-oriented, technology-driven achievement.
Comments From Our Colleagues
“This is the place where maths meets electronics meets data science meets software engineering meets commercialization of AI. The breadth and interaction of skills within the company enable us to tackle difficult problems and get great results. We work together as a team and everyone’s contribution is significant! The company offers great opportunities for everyone, regardless of role or experience. I enjoy the daily surprises of innovations emerging from across the team.”
Liz Corrigan
Head of Engineering
“Opportunities abound at Myrtle.ai. So far, I have formed a machine learning team from the ground up, played a key part in developing one of our key technologies and IP and have co-written a paper describing it. I have also had the opportunity to travel to many places within the UK, Spain, the Netherlands and United States. As part of this travel I have met and presented to many of the world’s largest chip manufacturers and software companies including a keynote speech at Intel’s 2019 Internal Spoken Language Technologies conference and at the Xilinx’s Developer Forum 2019. The people at Myrtle.ai are friendly, technically excellent and create an engaging, friendly environment where ideas and solutions thrive.”
Sam Davis
Head of Machine Learning
“I started working at Myrtle.ai as an intern, then because I enjoyed my experience so much, I returned after completing my final year at university. The feeling of teamwork and participation in the organisation is very strong! The atmosphere is very welcoming, and everyone is always happy to help if you are stuck. I think Myrtle.ai has a great team and the people here make it a wonderful place to work. We also have a great social atmosphere and tend to spend time together outside of the office: getting pizza, or going rock climbing, which strengthens our team.”
Sam Frohlich
Software Developer
About Us
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 inference workloads run with unsurpassed efficiency (latency, perf/W, $ per inference).
We’re a team of engineers and scientists with deep technical expertise who love a technical challenge in a friendly collaborative environment. All roles will be based at our offices in central Cambridge, UK.
Equal Opportunities Statement
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.
Our Values
Teamwork
Together everyone achieves more
Individuals
Every individual makes a difference
Integrity
Honouring our commitments
Respect
Have respect for one another
Innovation
Be curious, creative and innovative
Ready to Make an Impact?
