Machine Learning Internship
by Arm
Job Details
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Machine Learning Internship
Do you want to work on technology that enriches the lives of over 70% of the world’s population? Our internship programme is now open for applications! We want to hear from curious and enthusiastic candidates interested in working with us on the future generations of compute.
About the machine learning group and our work
Arm’s Machine Learning Research Lab delivers underlying ML technology that enables current and emerging applications across the full ML landscape, from data centres to IoT. Our research provides the building blocks to deliver industry-leading hardware and software solutions to Arm’s partners.
Our Cambridge ML team focusses on Probabilistic ML with research threads investigating Gaussian Processes and Bayesian methods and how to train, optimise, and accelerate them. We also conduct research on compiler optimisation for ML workloads (MLIR), self-supervised learning, distributed and adaptive learning, and data for efficient computation. We deliver models, algorithms, library optimization based on computational analysis, network architecture search (NAS) tools, ideas for instruction set architecture (ISA) and accelerator architecture.
We are looking for interns to work with us in key application areas like autonomous driving (ADAS), computer vision (CV), object detection and tracking, motion planning, and simultaneous localisation and mapping (SLAM). As a team we are very interested in researching and developing ML techniques that translate into real products and applications; our interns will help us determine which aspects of fundamental ML technology will be meaningful to next generation applications.
Education
Our interns typically pursue Masters or PhD degrees or post-docs in machine learning or computer science, data science, engineering, or science combined with a strong component of machine learning, but we encourage applications from any field of study if you are motivated and feel your unique skills are relevant to what we do.
We will also consider your application if you are pursuing an undergraduate or bachelor's degree and have relevant project or work experience.
Skills and Experience
- Hands-on experience investigating foundational Machine Learning technology including algorithms, models, training, optimization
- Deep understanding of machine learning/deep learning (CNN, RNN) concepts
- Proven track record of research in advanced topics of machine learning (e.g., Bayesian inference, Reinforcement Learning, Federated Learning, etc.)
- Good knowledge of common ML frameworks (Scikit-learn, TensorFlow, PyTorch, GPflow, Pyro etc.) and strong programming skills
- Publication at ML / Hardware conferences, such as, NeurIPS, ICML, ICLR, CVPR, ICCV, ICRA, SysML, ISCA, HPCA, IEEE, Hot Chips will be a plus
- Understanding of CPU, GPU, and NN accelerator micro-architecture is a plus
Our internships
We invite you to apply for an internship if your research interests align with ours and are enthusiastic about the type of work we do. As an Arm Research intern, you will get a first-hand view of how Arm crafts its technology and maintains an ecosystem of more than one thousand partners that have shipped over 170 billion leading-edge Arm-powered processors. We will work closely with you to develop an internship project that is tailored to your interests. Our internships are three months long with flexible start dates. We offer continuous support, feedback, and development opportunities as well as flexibility to decide how to complete project tasks.
You will work alongside experienced researchers within a specific team and also the wider research group doing real project tasks. We believe in developing talent for the future, so we seek to offer many of our interns a graduate position once they have finished their studies.
Please provide a cover note with your application; include some information about what you are interested in and the kind of projects you would like to work on. If you have a clear idea about the work you want to do, include it in your letter. It is okay not to be 100% sure! Tell us about your studies and what you enjoy, and we will try to find the right fit for you.
Arm Research recognizes that diverse and inclusive teams generate exceptional ideas and innovations critical to an outstanding research organization's success. We do not discriminate because of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About Arm
You know us. Or maybe you don’t. But that doesn’t change the fact we’re with you, morning, noon and night. If you have a smartphone, digital camera, digital TV, gaming console or a smart meter at home, you’ve already used an Arm powered product. Our advanced processor designs play a massive part in optimising the performance of 95% of all the world’s connected devices.
This means we’ve teamed up with almost all the biggest names in tech. Over 35 billion Arm technology-based chips (that’s 125 shipped every second) and the software driving them are in everything from the world’s fastest supercomputer to driverless car controls to revolutionary healthcare equipment. The sheer number of applications is why we’re one of the world’s biggest technology companies. Even if you don’t know our name, over 70% of the global population is using our tech every day.
How to apply
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The deadline has expired
We still have opportunities just like this one ready for you to apply.