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Senior Machine Learning Engineer

2 months ago

Cambridge, Cambridgeshire, United Kingdom Arm Limited Full time
Job Description

Arm's Machine Learning group is seeking a talented individual to join our team in western Europe. As a Senior Machine Learning Engineer, you will play a key role in helping developers showcase the AI capabilities of efficient, next-generation mobile, server, and embedded devices.

We are a diverse team of hardworking problem solvers located across multiple countries, with flexible working practices that enable us to collaborate efficiently across our different regions.

We use our interpersonal and communications skills in direct contact with outstanding companies across multiple technology domains, forging new paths and assisting developers worldwide to bring their visions to bear.

Key Responsibilities
  • Machine Learning Expertise: You will have good programming skills, preferably in Python, C++, and OOP, and experience with machine learning frameworks such as TensorFlow, ONNX, GGML, or PyTorch.
  • System Context Insights: You will have experience breaking down machine learning use-cases in a system context and providing valuable insights.
  • Programming Skills: You will have experience with programming mobile GPUs (e.g., using shaders, Vulkan) and Android application development using Android Studio.
  • Profiling System Concepts: You will have experience with profiling system concepts such as bandwidth, power, area, latency, and throughput.
What We Offer

In return, the successful candidate will get to engage with thought-leaders, key developers, and the biggest players on how best to deploy Machine Learning workloads on Arm processors. This is an opportunity to distinguish your role from competitors and help them visualize what the day-to-day would look like.

Accommodations at Arm

At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email us. We will treat all accommodation requests with confidentiality and only disclose information as necessary to provide the accommodation.

Hybrid Working at Arm

Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs.