Machine Learning Engineering Intern Ms Phd

Job description

Job Overview The mission of Central Technology - Machine Learning (CT-ML) is to create technology to enable all ML Compute on ARM. We believe that advancing innovative machine learning (ML) technology requires a collaborative approach across hardware, software, and algorithms. The CT-ML Algorithms team acts as the Center of Excellence for ML content analysis, algorithm development, and tools, driving this unified effort forward. What you could be doing as a Machine Learning Intern (MS/PhD) • Develop in depth understanding of ML workload, and develop algorithms and optimization techniques to drive PPA (Performance, Power, Area) on current and future Arm platforms. • Conduct ML workload analysis and serve as the ML Workload experts to support all phases of ARM IP development • Devise algorithm and prototyping on current platforms and to support future architecture exploration. • Develop internal tooling capabilities to support algorithmic and architecture exploration Examples: • Develop domain expertise in ML models and hardware-aware optimization techniques to support architecture development. • Conduct “Proof of Concept” exploration to prototype algorithms and optimized models in support of architecture development. • Develop and prototype algorithms to automate deployment of HW-aware optimized network optimization processes on ARM processors. We are looking for individuals who • Graduate students (PhD or MS with relevant research/work experience and/or publications) in Computer Engineering, Electrical Engineering, Computer Science or other related technical fields • Deep knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques • Overall high-level knowledge of computer architecture, systems, and HW-SW co-design • Ability to develop and work with large software systems in programming languages like Python • Knowledge of innovative deep learning libraries such as Tensorflow, and Pytorch • Willing to learn and train large deep learning models on GPU-based systems Qualities that will help your application stand out • Experience with ML model design, optimization, and HW-SW co-development methodology • ML Model Optimization techniques targeting PPA (Performance, Power, and Area) of neural networks on ARM compute platforms • Adaptability to the fast paced ML industry and willingness to learn new technology in a multifaceted environment Application Closing Date 2026-11-20 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 Working on interesting new projects with leaders in the field is exciting, but we also know how important it is to receive support. That's why throughout your internship, you can expect regular feedback and development opportunities, social activities to connect with your peers, an end of internship celebration, plus the opportunity to be *considered for future Graduate positions (*subject to performance). #getreadytogrow In addition to a competitive salary ($50-60/hour per hour), our on-the-job learning and mentoring/buddy schemes provide opportunities to learn and build professional connections. Additional Information We encourage early applications as we review them on a first come/first served basis. Arm Internships require you to be enrolled in a higher education degree and be returning to your course after your internship/placement. Please note we are unable to provide visa sponsorship for this role. Applicants must have the right to work in the country where the internship is based, without relying on sponsorship by Arm, for the full duration of the internship #LI-AP1 |Analyse machine learning workloads and prototype hardware-aware algorithms and tools to support performance, power and area optimisation on current and future Arm platforms.| 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 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. Apply View location Our Hiring Process Share this job: • Facebook • X • LinkedIn • Email Key Program Information Join a supportive environment of close collaboration and peer learning from Arm's world-class experts Receive hands-on experience by working on exciting cutting-edge projects Pave the way to long-term career opportunities within Arm; transition into a full-time role subject to performance Build meaningful connections and find your community in our vibrant inclusive environment Prioritize your wellbeing benefiting from Arm’s health and wellness support, including our quarterly Day of Care Take part in our global and regional activities, ranging from inspiring speakers to skill development sessions Drive change on Arm At Arm, you'll influence 100% of the world's connected devices and all their applications. From