Job Description: Arms Machine Learning Group isseeking highly motivated and creative Software Engineers to jointhe Cambridge-based ML Content, Algorithms and Tools team! ThisMachine Learning Engineer role focuses on advancing the field of AIby optimizing and deploying pioneering models, particularly LargeLanguage Models (LLMs) and Generative AI algorithms. This involvesdeep analysis of neural networks, optimizing software and hardware,developing innovative solutions, and collaborating with teams tobuild high-performance AI systems. Responsibilities : Yourresponsibilities involve working with major ML frameworks (PyTorch,TensorFlow, etc.) to port and develop ML networks, optimize andquantize models for efficient execution on Arm platforms, and helpensure multiple Arm products are designed to perform effectivelyfor machine learning. As an in-depth technical responsibility, youwill need to deeply understand the complex applications you analyzeand communicate them in their simplest form to contribute toproduct designs, allowing you to influence both IP and systemarchitecture. Required Skills and Experience :A background incomputer science, software engineering or other comparableskillsExperience training and debugging neural networks withTensorFlow and PyTorch using PythonUnderstanding, deploying, andoptimizing Large Language Models (LLMs) and Generative AIalgorithms.Experience using software development platforms andcontinuous integration systemsFamiliarity with Linux and cloudservicesHave a strong attention to detail to ensure use cases youinvestigate are well understood and the critical areas needingimprovement are understood Nice To Have Skills and Experience:Experience of the inner workings of Pytorch, Tensorflow,Executorch and Tensorflow LiteExperience of developing andmaintaining CI/testing components to improve automation of modelanalysisGood knowledge of Python for working with ML frameworksGoodknowledge of C++ for working with optimised ML librariesPreviousexperience of machine learning projectsExperience with deploymentoptimizations on machine learning models In Return : From researchto proof-of-concept development, to deployment on ARM IPs, joiningthis team would be a phenomenal opportunity to contribute to thefull life cycle of machine learning projects and understand howinnovative machine learning is used to solve real word problems.Working closely with experts in ML and software and hardwareoptimisation - a truly multi-discipline environment - you will havethe chance to explore existing or build new machine learningtechniques, while helping unpick the complex world of use-casesspanning mobile phones, servers, autonomous driving vehicles, andlow-power embedded devices #LI-TE! Accommodations at ArmAt Arm, wewant our people to Do Great Things. If you need support or anaccommodation to Be Your Brilliant Self during the recruitmentprocess, please email . To note, by sendingus the requested information, you consent to its use by Arm toarrange for appropriate accommodations. All accommodation requestswill be treated with confidentiality, and information concerningthese requests will only be disclosed as necessary to provide theaccommodation. Although this is not an exhaustive list, examples ofsupport include breaks between interviews, having documents readaloud or office accessibility. Please email us about anything wecan do to accommodate you during the recruitment process.HybridWorking at ArmArm’s approach to hybrid working is designed tocreate a working environment that supports both high performanceand personal wellbeing. We believe in bringing people together faceto face to enable us to work at pace, whilst recognizing the valueof flexibility. Within that framework, we empower groups/teams todetermine their own hybrid working patterns, depending on the workand the team’s needs. Details of what this means for each role willbe shared upon application. In some cases, the flexibility we canoffer is limited by local legal, regulatory, tax, or otherconsiderations, and where this is the case, we will collaboratewith you to find the best solution. Please talk to us to find outmore about what this could look like for you.Equal Opportunities atArmArm is an equal opportunity employer, committed to providing anenvironment of mutual respect where equal opportunities areavailable to all applicants and colleagues. We are a diverseorganization of dedicated and innovative individuals, and don’tdiscriminate on the basis of race, color, religion, sex, sexualorientation, gender identity, national origin, disability, orstatus as a protected veteran.
