We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
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 client devices to IoT. Our research feeds into product roadmaps to deliver industry-leading hardware and software solutions to Arm’s partners.
The Lab focusses on providing top model accuracy while optimizing for energy consumption. This includes defining the architecture and training our own custom machine learning models, incorporating Bayesian/probabilistic methods for uncertainty estimates, optimizing and creating tools to optimize existing state-of-the-art models, exploring techniques for compressing models, transforming data for efficient computation, enabling inference at the edge, and developing techniques for distributed training and inference. We deliver models, algorithms for compression, library optimization based on computational analysis, network architecture search (NAS) tools, ideas for instruction set architecture (ISA) and accelerator architecture.
The research also investigates use cases, such as natural language processing (NLP), computer vision (CV), and simultaneous localization and mapping (SLAM), as a way to determine which aspects of fundamental ML technology are or will be important to next generation applications.
Our worldwide team of researchers possess a broad range of ML skills but also a particular interest in researching and developing ML techniques that can roll out into real products and applications.
The role encompasses -
•Identifying and investigating key ML technologies and algorithms, and assessing how they’ll impact our products and partners
•Collaborating with our product teams to develop new IP – architecture, hardware, and software
•Reporting results to key partners and publishing research within the overall ML ecosystem
•Developing and optimizing ML algorithms for energy-constrained devices
•Prototyping hardware and software solutions
•Collaborating with university and industry research partners
If you have an established track record in these areas and have exceptional skills to develop creative research agendas and execute projects successfully, you could be an extraordinary fit to join our team.
What skills, experience, and qualifications do I need?
MS or PhD or post-doc in machine learning, or, computer science, mathematics, physics, or engineering combined with a background in machine learning
Hands-on experience developing foundational machine learning technology, including algorithms, models, training, optimization tools
Good experience with common ML frameworks (TensorFlow, PyTorch, PyMC, GPflow, Pyro etc.)
Published at premier ML\hardware conferences, such as, NeurIPS, ICML, ICLR, CVPR, SysML, ISCA, HPCA, IEEE, Hot Chips
Solid understanding of deep learning (CNN, RNN, LSTM) concepts
Deep understanding of probabilistic machine learning concepts (Bayesian inference, Ensemble Learning, Gaussian Processes, Variational inference, MC Sampling etc.)
Understanding of CPU, GPU, and NN accelerator micro-architecture
Strong programming skills (Python, C++)
Scientific, data-driven, objective mindset
Desired behaviours for this role:
Arm is proud to have a set of behaviors that reflect our visionary culture and guide our decisions, defining how we work together to defy ordinary and craft extraordinarily. These behaviors are assessed during the recruitment process:
We Not I
Take daily responsibility to make the Global Arm community thrive
No individual is responsible for the right answer. Brilliance is collective
Information is crucial, share it
Realize that we win when we collaborate — and that everyone misses out when we don’t
Passion for Progress
Our differences are our strength. Widen and mix up the pool of people you connect
Difficult things can take unexpected directions. Stick with itMake feedback positive and expansive, not negative and narrow
The essence of progress is that it can’t stop. Grow with it and be responsible for your own progress
Be Your Brilliant Self
Be quirky not egocentric
Recognize the power in saying ‘I don’t know"
Make trust our default position
Hold strong opinions lightly
Your particular benefits package will depend on position and type of employment and may be subject to change. Your package will be confirmed on offer of employment. Arm’s benefits program provides permanent employees with the opportunity to stay innovative and healthy, ensure the wellness of their families, and create a positive working environment.
- Annual Bonus Plan
- Discretionary Cash Award
- Group Personal Pension Plan with enhanced company contribution
- Medical, Travel, Health & Life Insurances
- Holiday, 25 days annual leave with option to buy an additional 5 days per year
- Sabbatical, 20 paid days every four-year of service
- Volunteering, One (1) paid working day each year (TeamARM)
- Varies by location: cycle to work, free car parking, gym on site, team and social events
Arm® technology is at the heart of a computing and connectivity revolution that is transforming the way people live and businesses operate. From the unmissable to the invisible; our advanced, energy-efficient processor designs are enabling the intelligence in 86 billion silicon chips and securely powering products from the sensor to the smartphone to the supercomputer. With more than 1,000 technology partners including the world’s most famous business and consumer brands, we are driving Arm innovation into all areas compute is happening inside the chip, the network and the cloud.
With offices around the world, Arm is a diverse community of dedicated, innovative and highly talented professionals. By enabling an inclusive, meritocratic and open workplace where all our people can grow and succeed, we encourage our people to share their unique contributions to Arm's success in the global marketplace.
About the office
At our global HQ in Cambridge, England we house the majority of our engineering and our corporate groups that deliver our extraordinary success. As a world-renowned university town, Cambridge boasts both a beautiful countryside and a historical town center. Local activities include punting on the River Cam and the many museums that reside within Cambridge University.
110 Fulbourn Road
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