On-device ML Engineer - US Remote

Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. As an On-device ML Engineer, you will explore cutting-edge methods to run models on consumer platforms, with a special focus on Apple technologies. Your responsibilities will include optimizing, quantizing, and converting the best models for efficient execution on iPhones and Macs. You'll design, build, and contribute to open source software that demonstrates model usage and develop libraries to minimize friction for developers who may not be deeply familiar with ML.

Key responsibilities include:

• Model evaluation and optimization for Apple platforms
• Converting SOTA models to native formats like Core ML or MLX
• Writing Swift code for ML tasks and optimizations
• Contributing to open source projects
• Creating tools for easy model conversion and sharing

We're looking for someone with:

• Strong Swift development background
• Deep understanding of ML model architectures
• Experience with Core ML and various ML frameworks
• Passion for open-source contributions
• Ability to work across different levels of abstraction
• Strong optimization and debugging skills

Hugging Face offers a supportive work environment with benefits including:

• Health, dental, and vision coverage
• Flexible working hours and remote options
• Parental leave and flexible PTO
• Reimbursement for relevant conferences and training
• Company equity as part of compensation

Join us in building the future of machine learning and artificial intelligence in a diverse, equitable, and inclusive workplace. We value continuous growth and development, and we're excited to see how you can contribute to our mission of making ML more accessible.