Graduate Machine Learning Engineer

Graduate Machine Learning Engineer

The Central Technology - Machine Learning (CT-ML) team at Arm is on a mission to advance ML Compute on ARM platforms. We believe that the future of machine learning lies in a collaborative approach across hardware, software, and algorithms. Our CT-ML Algorithms team is dedicated to excelling in ML content analysis, algorithm development, and tool creation to drive this unified effort forward.

Role and Responsibilities

As a Graduate Machine Learning Engineer, you will:

• Develop a deep understanding of ML workloads and create algorithms and optimization techniques to enhance Performance, Power, and Area (PPA) on current and future Arm platforms.
• Analyze ML workloads and serve as an expert to support all phases of ARM IP development.
• Devise and prototype algorithms on current platforms to support future architecture exploration.
• Create internal tooling capabilities to support algorithmic and architecture exploration.

Qualifications

We are seeking individuals who:

• Are pursuing a Master’s or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, or related technical fields.
• Have proficiency in computer architecture and basic knowledge of hardware and software design.
• Have experience working with large software systems using programming languages like Python.
• Are knowledgeable in state-of-the-art deep learning libraries such as TensorFlow and PyTorch.

Desired Qualities

To stand out, your application might showcase:

• Experience with ML Model Optimization techniques aimed at ARM compute platforms.
• Adaptability to the fast-moving ML industry and a willingness to learn new technologies in a dynamic environment.

Additional Information

We encourage early applications as they are reviewed on a first-come, first-served basis.

Benefits and Opportunities

In return, you will receive a competitive salary and comprehensive rewards package. We provide support, autonomy, and opportunities for career growth, including mid-year and year-end reviews for recognition and progression.

You can expand your knowledge through "Grad-teach-Grads" workshops, guest speaker series, and various social events. Interested in going further? Join our Graduate Committee to enhance your planning, networking, and coordination skills.

Additionally, you will be invited to our exclusive Global Graduate Conference (GGC), a yearly event for graduates to hear from executive members, inspiring speakers, and to network and make lifelong connections. Many of our leaders and technical specialists started as graduates—will you be next?

Accommodations at Arm

At Arm, we support our people in doing great things. If you need support or accommodation during the recruitment process, please email [email protected]. By sharing your information, you consent to its use by Arm to arrange appropriate accommodations. All requests are treated confidentially. Examples of support include breaks between interviews, document reading assistance, or office accessibility. Feel free to contact us with any accommodation needs during the recruitment process.

Hybrid Working at Arm

Arm’s hybrid working approach aims to create an environment that supports high performance and personal wellbeing. We believe in the value of bringing people together face-to-face while recognizing the importance of flexibility. Teams determine their own hybrid working patterns based on work and team needs. Flexibility options may vary due to legal, regulatory, tax, or other considerations. Contact us for more details on what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer committed to an environment of mutual respect and equal opportunities for all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Company Name: Arm

Job Title: Graduate Machine Learning Engineer