**Job Description:**Arms Machine Learning Group is seeking highly motivated and creative SoftwareEngineers to join the Cambridge-based ML Content, Algorithms and Tools team!This Machine Learning Engineer role focuses on advancing the field of AI byoptimizing and deploying pioneering models, particularly Large Language Models(LLMs) and Generative AI algorithms. This involves deep analysis of neuralnetworks, optimizing software and hardware, developing innovative solutions,and collaborating with teams to build high-performance AI systems.**Responsibilities :**Your responsibilities involve working with major ML frameworks (PyTorch,TensorFlow, etc.) to port and develop ML networks, optimize and quantizemodels for efficient execution on Arm platforms, and help ensure multiple Armproducts are designed to perform effectively for machine learning. As an in-depth technical responsibility, you will need to deeply understand the complexapplications you analyze and communicate them in their simplest form tocontribute to product designs, allowing you to influence both IP and systemarchitecture.

• *Required Skills and Experience :**
• A background in computer science, software engineering or other comparable skills
• Experience training and debugging neural networks with TensorFlow and PyTorch using Python
• Understanding, deploying, and optimizing Large Language Models (LLMs) and Generative AI algorithms.
• Experience using software development platforms and continuous integration systems
• Familiarity with Linux and cloud services
• Have a strong attention to detail to ensure use cases you investigate are well understood and the critical areas needing improvement are understood
• *Nice To Have Skills and Experience :**
• Experience of the inner workings of Pytorch, Tensorflow, Executorch and Tensorflow Lite
• Experience of developing and maintaining CItesting components to improve automation of model analysis
• Good knowledge of Python for working with ML frameworks
• Good knowledge of C++ for working with optimised ML libraries
• Previous experience of machine learning projects
• Experience with deployment optimizations on machine learning models
• *In Return :**

From research to proof-of-concept development, to deployment on ARM IPs,joining this team would be a phenomenal opportunity to contribute to the fulllife cycle of machine learning projects and understand how innovative machinelearning is used to solve real word problems.Working closely with experts in ML and software and hardware optimisation - atruly multi-discipline environment - you will have the chance to exploreexisting or build new machine learning techniques, while helping unpick thecomplex world of use-cases spanning mobile phones, servers, autonomous drivingvehicles, and low-power embedded devices#LI-TE!## **Accommodations at Arm**At Arm, we want our people to **Do Great Things**. If you need support or anaccommodation to **Be Your Brilliant Self** during the recruitment process,please email [](mailto:). To note,by sending us the requested information, you consent to its use by Arm toarrange for appropriate accommodations. All accommodation requests will betreated with confidentiality, and information concerning these requests willonly be disclosed as necessary to provide the accommodation. Although this isnot an exhaustive list, examples of support include breaks between interviews,having documents read aloud or office accessibility. Please email us aboutanything we can do to accommodate you during the recruitment process.## **Hybrid Working at Arm**Arm’s approach to hybrid working is designed to create a working environmentthat supports both high performance and personal wellbeing. We believe inbringing people together face to face to enable us to work at pace, whilstrecognizing the value of flexibility. Within that framework, we empowergroupsteams to determine their own hybrid working patterns, depending on thework and the team’s needs. Details of what this means for each role will beshared upon application. In some cases, the flexibility we can offer islimited by local legal, regulatory, tax, or other considerations, and wherethis 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 at Arm**Arm is an equal opportunity employer, committed to providing an environment ofmutual respect where equal opportunities are available to all applicants andcolleagues. We are a diverse organization of dedicated and innovativeindividuals, and don’t discriminate on the basis of race, color, religion,sex, sexual orientation, gender identity, national origin, disability, orstatus as a protected veteran.