Product Manager - Machine Learning Tools

Arm; Cambridge; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative company is seeking a leader in ML tooling strategy to enhance AI capabilities at the edge. This role involves defining essential tools for developers, collaborating with teams to optimize machine learning workloads, and integrating third-party solutions. Join a dynamic and inclusive organization where your contributions will shape the future of AI in edge computing. If you're passionate about technology and eager to make an impact, this opportunity is perfect for you.

Benefits

Attractive relocation package

Diverse workplace

Inclusive environment

Qualifications

• Experience in AI inference on edge computing or cloud platforms.
• Knowledge of ML frameworks and libraries is essential.

Responsibilities

• Define tools for deploying ML models on Arm platforms.
• Implement strategy for optimizing ML workloads between cloud and edge.

Skills

AI inference on edge computing

ML frameworks and libraries

Communication skills

Teamwork skills

Tools

Linux

PyTorch

Job description

Job Overview:

Are you excited about how the intersection of hardware and software will unlock the potential for further gains in AI? In this role within the IoT Line of Business you will be leading the ML tooling strategy and collaborating with cross-functional teams and with lead partners to create a comprehensive set of software and tools that brings AI inference to the edge.

Arm has revolutionised multiple industries and is now defining the future of AI on edge computing. The IoT Line of Business is rapidly moving inference from being a cloud centric compute, to a distributed local computing experience with all the benefits of reduced latency, privacy and cost this change will deliver.

Responsibilities:

• Define the set of tools and frameworks required for developers to deploy machine learning models and applications on Arm platforms, aligned with user needs in IoT markets
• Define and implement a strategy for the migration and optimisation of ML workloads between cloud and edge devices
• Work across product and engineering teams to manage tooling software requirements and deliverables
• Collaborate with third party vendors and projects to incorporate their tools into our solutions where applicable

Required Skills and Experience:

• Deep understanding of delivering AI inference on edge computing, or cloud platforms
• Deep knowledge of ML frameworks and libraries
• Excellent communication and teamwork skills, with the ability to align product strategy and build consensus across product and engineering teams

Nice To Have Skills and Experience:

• Relevant software development experience on Linux based systems, as a software architect or lead developer for one or more products
• Prior experience building applications with ML frameworks, such as PyTorch

In Return:

Arm is committed to global talent acquisition, offering an attractive relocation package. With offices around the world, Arm is a diverse organization of dedicated, creative and highly talented engineers. By enabling a dynamic, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we encourage our people to share their unrivalled contributions to Arm's success in the global marketplace.