On-device ML Engineer - EMEA Remote
- Other
- Other places
- 06/12/2024
- -
Hugging Face, a leader in advancing machine learning (ML) technologies, is looking for an experienced On-device ML Engineer to join our dynamic team. This role focuses on bringing cutting-edge ML models to consumer platforms, specifically Apple technologies, impacting millions of users worldwide.
Your primary responsibilities will include optimizing, quantizing, and converting top-tier ML models for efficient execution on devices like iPhones and Macs. You'll also be crafting and contributing to open-source software to enhance model accessibility and usability. Your goal is to facilitate the adoption of these methods, creating innovative tools for the developer community, and pushing the boundaries of on-device machine learning.
Ideally, you're a determined developer with robust experience in Swift and a profound passion for machine learning. You are familiar with Core ML, possess strong debugging skills, and are versed in various optimization techniques. Your ability to navigate from high-level UI design down to low-level Metal kernels is crucial. Plus, if you enjoy enhancing and sharing open-source libraries, you'll fit right in!
At Hugging Face, we're not just developing technology; we're building a community and culture of inclusivity, diversity, and equity. You'll work alongside some of the brightest minds in the industry, continuously challenged to grow and make substantial impacts. We support our team's health, well-being, and professional development with comprehensive benefits, flexible working hours, and continuous learning opportunities. Plus, as a valued team member, you'll receive an equity share in our success.
If you're passionate about driving the future of on-device machine learning and meet the qualifications above, apply today to become part of our growing team!
Hugging Face is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Ready to make a significant impact in the world of machine learning and artificial intelligence? Apply now to be our new On-device ML Engineer and help shape the future of ML on consumer devices. We're looking forward to your application!