Arm is a company focused on shaping the future of energy-efficient AI through innovative research. As a Graduate Research Scientist, you will be part of a global team working on foundational advances in machine learning, computer architecture, and systems, with the goal of influencing billions of devices worldwide.
Responsibilities
- Scalable and Distributed Machine Learning: Approaches for training, inference, and deployment of increasingly capable models across diverse and distributed compute environments
- Efficient and Sustainable AI: Techniques to improve the performance, efficiency, and scalability of machine learning workloads, spanning algorithms, representations, and system-level optimizations
- Generative Modeling: Research into modern generative methods for learning, representation, and synthesis across different data types and tasks
- Multimodal and Integrated Learning: Models and systems that combine multiple sources of information to enable richer perception, understanding, and interaction
- Autonomous and Adaptive Systems: Learning-based methods for reasoning, decision-making, coordination, and adaptation in complex or dynamic environments
- Embodied and Interactive Intelligence: Machine learning approaches for perception, planning, and control in systems that interact with the physical world or with users
Skills
- Hold (or are on track to hold) a PhD in Computer Science, Electrical/Computer Engineering or related field by spring 2026
- Candidates with alternative degrees will also be considered if they have relevant experience
- Proficiency in programming languages such as Python, C/C++, or similar
- Experience designing, training, or analyzing machine learning models or systems using standard frameworks (e.g. PyTorch, Hugging Face Transforms, etc.)
- Interest in research and long-term innovation beyond immediate product delivery
- Contributions to open-source and/or peer-reviewed publications
- Up to date understanding of machine learning trends
- Familiarity with machine learning model optimization or deployment
- Familiarity with Arm architecture
- Familiarity with GPU programming
Benefits
- Competitive salary and comprehensive rewards package
- Support, autonomy and opportunity to excel in your career
- Mid-year, and year-end review
- Grad-teach-Grads workshops
- Guest speaker series
- Various social events
- Exclusive Global Graduate Conference (GGC)
Company Overview
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. It was founded in 1990, and is headquartered in Cambridge, Cambridgeshire, GBR, with a workforce of 5001-10000 employees. Its website is http://www.arm.com.Company H1B Sponsorship
Arm has a track record of offering H1B sponsorships, with 46 in 2026, 294 in 2025, 166 in 2024, 164 in 2023, 123 in 2022, 103 in 2021, 133 in 2020. Please note that this does not guarantee sponsorship for this specific role.