Product Manager – Machine Learning Tools

NLP PEOPLE; Antibes; Sur place; EUR 60 000 - 100 000; Plein temps

Résumé du poste

An established industry player is seeking a Senior ML Tooling Strategist to lead the development of innovative AI solutions at the edge. This role involves defining the necessary tools and frameworks for deploying machine learning applications, ensuring seamless integration across cloud and edge devices. Collaborating with diverse teams and third-party vendors, you will drive the adoption of cutting-edge ML technologies. If you are passionate about AI and eager to shape the future of edge computing, this is an exciting opportunity to make a significant impact in a dynamic and inclusive environment.

Prestations

Attractive relocation package

Diverse work environment

Opportunities for growth

Qualifications

• 5+ years of experience in AI and ML frameworks.
• Strong communication and teamwork abilities.

Responsabilités

• Define tools and frameworks for deploying ML models on Arm platforms.
• Implement strategies for migrating ML workloads between cloud and edge.

Connaissances

AI inference on edge computing

ML frameworks and libraries

Communication skills

Teamwork skills

Outils

Linux-based systems

PyTorch

Description du poste

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 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:

1. 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.
2. Define and implement a strategy for the migration and optimisation of ML workloads between cloud and edge devices.
3. Work across product and engineering teams to manage tooling software requirements and deliverables.
4. Collaborate with third-party vendors and projects to incorporate their tools into our solutions where applicable.

Required Skills and Experience:

1. Deep understanding of delivering AI inference on edge computing or cloud platforms.
2. Deep knowledge of ML frameworks and libraries.
3. 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:

1. Relevant software development experience on Linux-based systems, as a software architect or lead developer for one or more products.
2. 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.

Company:

ARM

Level of experience (years):

Senior (5+ years of experience)