Machine Learning Engineer in the Optimization Team - EMEA Remote

Join us at Hugging Face, where we're dedicated to advancing accessible Machine Learning technology. Our mission contributes to the development of cutting-edge technology for a better future.

About Hugging Face

At Hugging Face, we've developed the world's fastest-growing open-source library of pre-trained models. Boasting over 1 million models and 320K+ stars on GitHub, our technology is utilized in production by more than 15,000 companies, including AI leaders such as Google, Elastic, Salesforce, Grammarly, and NASA.

Our NLP transformers have significantly advanced computational requirements, now extending to other modalities like Computer Vision and Speech, which are adopting Transformer architectures for state-of-the-art models.

About the Role

Hugging Face stands as the leading community-driven project for training, sharing, and deploying advanced machine learning models. Efficiency in workload is critical to our mission of democratizing state-of-the-art AI, constantly pursuing faster, more efficient methods for training and deployment.

If you relish diving into low-level system integrations, compiler support, and framework optimizations, we should connect!

We are seeking talented individuals to join the Hugging Face Special Ops team, focusing on:

• Integrating 🤗 transformers models with advanced AI hardware
• Ensuring optimal performance of these models
• Creating a seamless and robust Developer Experience
• Efficiently scaling and deploying these models

This role offers an exciting chance to work at the forefront of AI innovation, bridging model architectures with hardware technologies. For further insight, explore our collaboration with GraphCore on IPUs.

About You

If you enjoy exploring the intricacies of system integrations, compiler support, and framework optimizations, you will thrive in our team. Situated at the intersection of software engineering and machine learning, you will integrate the latest hardware features into Python/C++ and design rich, user-friendly Python APIs, continuing the legacy of Hugging Face models like transformers, tokenizers, and datasets with a performance-centric approach. Experience with Linux or embedded devices is a significant advantage.

More about Hugging Face

We Value Diversity

We are actively committed to fostering a culture that values diversity, equity, and inclusion. We are creating a workspace where everyone feels respected and supported, regardless of background. This is essential to building a great company and community. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We Promote Development

We work with some of the industry's brightest minds. Our organization is geared towards impact and continuous growth. Employees are reimbursed for relevant conferences, training, and education, encouraging constant professional development.

We Prioritize Well-being

We offer flexible working hours and remote options. Health, dental, and vision benefits are available for employees and their dependents. We also provide parental leave and flexible paid time off.

We Support Our Remote Employees

While we have offices in NYC and Paris, we are highly distributed. Remote employees are welcome to visit our offices, with workstation setups provided as needed.

We Make Employees Shareholders

All employees receive company equity as part of their compensation. As we aim to become a defining platform in machine learning and AI, everyone stands to benefit from our success.

We Support the Community

We believe in the power of collaboration for scientific advancement. Join us in supporting the ML/AI community.

Apply now to be part of Hugging Face and make an impact in the world of Machine Learning!