Entry Level Lead Research Scientist Jobs

Job ID 2026-19539 Date posted 11월. 12, 2026 Location Seattle, Washington Category Research, Graduate

Job Overview

At Arm, our research shapes the future of energy-efficient AI. We build the foundations of tomorrow’s intelligent systems - from next-generation processors and accelerators to cutting-edge ML models and tools. As a Research Scientist, you’ll be part of a global team pushing the boundaries of what’s possible at the intersection of AI, architecture, and scalable compute.

We’re looking for curious, collaborative researchers who want to turn deep technical insights into real-world impact. Whether you’re advancing algorithms for efficient learning, designing ML-friendly compute architectures, or experimenting with new model deployment paradigms - your work at Arm can influence billions of devices worldwide.

We are looking for research scientists interested in foundational advances at the intersection of machine learning, computer architecture, and systems, including (but not limited to) the following areas:

• 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.

What you could be doing as a Graduate Research Scientist, AI

• Your contributions will vary depending on your expertise, but may include:
• Investigating novel approaches and applications in machine learning
• Exploring how to make machine learning models and workloads more scalable, portable, and power-efficient
• Developing proof-of-concepts, prototypes, or simulation environments to test research ideas
• Collaborating with teams across Arm to integrate research into products and platforms
• Publishing, presenting, or contributing to academic and industrial research communities
• Working with partners and ecosystem stakeholders on long-term innovation initiatives

We are looking for individuals who:

• A PhD (or equivalent) and strong foundational experience in machine learning, computer science, electrical/computer engineering, or related field.
• 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

Qualities that will help your application stand out

• Up to date understanding of machine learning trends
• Familiarity with machine learning model optimization or deployment
• Familiarity with Arm architecture
• Familiarity with GPU programming

Application Closing Date

We aim to review all applications no later than two weeks after the closing date. In peak periods there may be exceptions beyond this timeframe. We will do our best to keep you informed.

In Return

As you develop in role, you’ll have clear opportunities to progress within the salary range at Arm. With mid-year and year-end reviews, you’ll have two formal progression windows each year, recognising your growth.

You can also attend our “Grad-teach-Grads” workshops, guest speaker series, and social events to expand your knowledge. If you’d like to get more involved, you can join the Graduate Committee to further develop your planning, networking, and coordination skills.

You’ll be invited to our Global Graduate Conference (GGC) — an annual event where graduates hear from executive leaders, guest speakers, and build lasting connections.

With many of our leaders and technical specialists having originally joined as a Graduate (https://careers.arm.com/graduates), will you be next?

Additional Information

We encourage early applications as we review them on a first come, first served basis.

Please note that relocation support is available for this role for domestic moves within the country and regional moves within Europe. Visa sponsorship support is also available for candidates who require it.

#LI-AP1

|Graduate Research Scientists investigate machine learning and develop prototypes with teams across Arm to make models and workloads more scalable, portable and power-efficient.|

Our 10x Mindset

At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset (opens in new window)

Use of AI in Your Application

At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact accommodations@arm.com so we can support you.

Recruitment Adjustments and Accommodations

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.