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 graduates 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.
- Deploying state of the art models, trained on production size data sets
- Optimizing GPU systems for training performance
- Using data augmentation techniques to improve production model performance
- Using a range of inference optimization techniques, such as model distillation, quantization, model pruning
- Helping to define and implementing best practice ways of working.
- Keeping up to speed with latest research to drive company strateg
- At least 2 years experience in training machine learning models for production applications
- Master’s or PhD in related scientific or engineering field with good theoretical understanding of machine learning/deep learning.
- Use of machine learning frameworks such as PyTorch or TensorFlow.
- Experience in optimizing GPU for training performance
- Knowledge of model compression techniques such as reduced precision or model pruning
- Experience using C++ or other high performance software language
- Attention to detail, good communication and documentation skills.
- Writing and testing IP components in SystemVerilog for FPGA
- Building full applications for FPGA using our IP library
- Integrating with third party IP for external memory PCIe subsystems
- Extending IP verification code and integrating into automated test environments
- Working with software interface routines to support FPGA integration into the software stacks
- Learning about a range of Machine Learning inference optimization techniques
- Providing technical support for customer engagements
- At least 5 years experience generating clear, well-documented, and well-tested SystemVerilog, Verilog or VHDL code
- Masters degree in Engineering, Mathematics or other Scientific Discipline
- Worked with FPGA EDA tools such as Quartus or Vivado
- Worked with software languages such as C, C++, Python
- Familiarity with Linux development environments, version control and CI systems
- Experience of bringing up full FPGA designs and debugging on hardware
- Experience optimising RTL designs to achieve timing closure
- Good verbal and written communication skills
- [Nice to have] Familiarity with neural network architectures
- [Nice to have] Interest in Functional Programming Languages
- Shipping Rust applications for real time deployment of machine learning powered services
- Optimising code for the latest larger server, multicore CPUs
- Creating code to handle high throughput, timing critical services in local and cloud based data centers
- Releasing customer and open source application repositories
- Working with our ML team and ML frameworks for inference optimization
- Working with our acceleration team to implement fully optimized applications
- Specifying customer and internal APIs
- Developing best practice ways of working and test infrastructure
- At least 5 years generating clear, well-documented, and well-tested code
- Built large C++ or Rust codebases
- Experience working on high performance or real-time applications
- Worked in a multi processor – multi threaded environment.
- Worked with cloud deployed applications
- Familiarity with Linux driver-level / kernel-level programming
- Experience of coaching and developing others
- Designing SystemVerilog based verification environments to support a range of IP products
- Optimizing verification code to enable fast simulation support for software integration
- Communicating the verification environment design and supporting others to use, add and extend testing during IP development
- Learning about AI inference compute architectures and mathematical techniques
- Working alongside our ML, Software and FPGA developers
- Experience simulating and verifying large RTL designs
- At least 5 years generating clear, well-documented, and maintainable SystemVerilog code
- A degree in Engineering, Computer Science or other Technical discipline
- Experience with C/C++ or other imperative coding language
- Good verbal and written communication skills
- Experience working in Linux based development environments
- An interest in learning about AI Inference compute architectures
- [Nice to have] Interest in Functional Programming Languages
Machine Learning Engineer
About the Role
The successful candidate will work as part of our machine learning team to deploy machine learning models for a range of solutions including recommendation models, speech recognition, speech synthesis, NLP and vision workloads. This role will involve training state of the art models on production scale datasets, compressing models to run with our optimised inference acceleration solutions, and deploying customer facing training libraries that integrate state of the art model compression techniques.
You will work alongside our expert team of Machine Learning Engineers and Researchers, encountering a wide range of techniques, working with large data sets and investigating novel techniques for EDA tooling including use of Reinforcement Learning.
Your initial focus will be on our speech recognition model, optimising our training workflows for multi-GPU systems. You will optimize the training pipeline, manage large training runs and tune model hyperparameters for inference performance and quality.
You will have a strong interest in following the latest research into ML and discussing this with your peers. You will be detail oriented and have a good theoretical understanding of machine learning to complement your practical deep learning model development experience.
What we do
Myrtle.ai does the engineering to make deep learning a low power, high performance reality today. Focusing on 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. We’re a team of engineers and scientists with deep technical expertise who love a technical challenge in a friendly collaborative environment. We focus on end to end problem optimisation, starting at the algorithm and adapting the whole stack to get world leading performance from today’s silicon solutions.
Culture
We are a small friendly team, who work with some of the biggest problems in ML today. We strive for excellent technical performance in an environment where everyone contributes directly to the company’s success. We are collaborative and multi-disciplined, welcoming innovation and critical thinking from everyone.
We are based in central Cambridge UK, and enjoy sharing food and games. We are currently running a hybrid working scheme with minimum 3 days on site, allowing a degree of home working. We can accommodate other non standard working patterns for staff with particular requirements.
Myrtle 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.
How to Apply
Email your CV to careers@myrtle.ai
What you will be doing
We're excited if you have
Senior Digital Design Engineer
About the Role
As a Senior Digital Design Engineer you will be working to implement high performance AI inference solutions on FPGA. You will contribute to our IP library in SystemVerilog and build out complete FPGA design solutions for customers. You will work as part of our diverse team of developers and researchers, on IP that is core to our inference products. You will use your experience to deliver highly performant, well tested and extensible code for some of the most widely deployed AI in modern data centers. You will work closely with our software and machine learning engineers, integrating against Myrtle’s compiler/runtime/driver stack, to build high-reliability, low-latency, and high-throughput inference applications.
You will work with the latest AI capable FPGAs from multiple FPGA vendors to develop RTL in SystemVerilog. You will generate maintainable and parameterizable IP components, to enable reuse across multiple FPGAs and applications. You will package IP into full solution implementations, achieve timing closure through floorplanning and test solutions on the board. You will make low level software interface code changes to support integration with our software stacks. You will work in a Linux development environment.
You will help to define the ways of working in the FPGA team, including coding standards and test. You will help the team to plan activities using Agile scrum methodology.
What we do
Myrtle.ai does the engineering to make deep learning a low power, high performance reality today. Focusing on 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. We’re a team of engineers and scientists with deep technical expertise who love a technical challenge in a friendly collaborative environment. We focus on end to end problem optimisation, starting at the algorithm and adapting the whole stack to get world leading performance from today’s silicon solutions.
Culture
We are a small friendly team, who work with some of the biggest problems in ML today. We strive for excellent technical performance in an environment where everyone contributes directly to the company’s success. We are collaborative and multi-disciplined, welcoming innovation and critical thinking from everyone.
We are based in central Cambridge UK, and enjoy sharing food and games. We are currently running a hybrid working scheme with minimum 3 days on site, allowing a degree of home working. We can accommodate other non standard working patterns for staff with particular requirements.
Myrtle 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.
How to Apply
Email your CV to careers@myrtle.ai
What you will be doing
We're excited if you have
Senior Software Developer
About the Role
As a Senior Software engineer you will be working at the intersection of high performance application development and machine-learning. You will build Rust applications as part of our diverse team of developers and researchers. You will use your experience to deliver highly performant and well tested code for some of the most widely deployed AI in modern data centers. Your work will involve working closely with OSS projects such as TensorFlow and ONNX Runtime, as well as Myrtle’s compiler/runtime/driver stack, to build high-reliability, low-latency, and high-throughput inference applications.
You will work with customers to develop application APIs for serving high volume machine learning inference applications, to create implementations that can effectively manage server requests within strict latency targets. You will generate optimised and multithreaded applications to achieve optimal utilisation of large server grade CPUs, understanding the targeting of low level AI instruction sets and the role of memory and cache allocations to performance optimisation.
You will help to define the ways of working in the software team, including coding standards and test. You will help the team to plan activities using Agile scrum methodology.
What we do
Myrtle.ai does the engineering to make deep learning a low power, high performance reality today. Focusing on 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. We’re a team of engineers and scientists with deep technical expertise who love a technical challenge in a friendly collaborative environment. We focus on end to end problem optimisation, starting at the algorithm and adapting the whole stack to get world leading performance from today’s silicon solutions.
Culture
We are a small friendly team, who work with some of the biggest problems in ML today. We strive for excellent technical performance in an environment where everyone contributes directly to the company’s success. We are collaborative and multi-disciplined, welcoming innovation and critical thinking from everyone.
We are based in central Cambridge UK, and enjoy sharing food and games. We are currently running a hybrid working scheme with minimum 3 days on site, allowing a degree of home working. We can accommodate other non standard working patterns for staff with particular requirements.
Myrtle 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.
How to Apply
Email your CV to careers@myrtle.ai
What you will be doing
We're excited if you have
Senior System Verilog Verification Engineer
About the Role
As a Senior SystemVerilog Verification Engineer, you will architect our next generation of verification environment for our FPGA based AI Inferencing solutions. You will target the latest AI capable FPGAs from multiple FPGA vendors, helping to deliver products for serving high volume machine learning inference applications. You will work closely with our FPGA, software and machine learning engineers, integrating code into our stack, to build high-reliability, low-latency, and high-throughput applications. Your work will ensure that we can continue to deliver high quality, reliable products, while enabling our dynamic and fast paced workflow.
You will be responsible for the design and development of the verification environment, integration into our CI systems and toolflows and supporting the software team with fast execution co-simulation. You will be interested in the development of reference models for AI inference solutions, requiring a good mathematical grounding and a desire to learn the principles of AI computation algorithms. You will work primarily in SystemVerilog, but also in other software languages where required.
You will support others to use and extend the verification environment. You will help the team to plan activities using Agile scrum methodology.
What we do
Myrtle.ai does the engineering to make deep learning a low power, high performance reality today. Focusing on 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. We’re a team of engineers and scientists with deep technical expertise who love a technical challenge in a friendly collaborative environment. We focus on end to end problem optimisation, starting at the algorithm and adapting the whole stack to get world leading performance from today’s silicon solutions.
Culture
We are a small friendly team, who work with some of the biggest problems in ML today. We strive for excellent technical performance in an environment where everyone contributes directly to the company’s success. We are collaborative and multi-disciplined, welcoming innovation and critical thinking from everyone.
We are based in central Cambridge UK, and enjoy sharing food and games. We are currently running a hybrid working scheme with minimum 3 days on site, allowing a degree of home working. We can accommodate other non standard working patterns for staff with particular requirements.
Myrtle 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.
How to Apply
Email your CV to careers@myrtle.ai
What you will be doing
We're excited if you have
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 has the skill set to create deep learning inference solutions that others can’t. With our holistic approach to problem solving, we bring together the engineering disciplines of software, hardware and machine learning to create highly optimized platforms for tomorrow’s most demanding inference challenges.
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?
