Description:

Hugging Face is seeking a Machine Learning Engineer to join the Optimization team, focusing on enhancing workload efficiency in training and deploying machine learning models.
The role involves bridging Hugging Face transformers models with state-of-the-art AI hardware and ensuring these models meet expected performance standards.
Responsibilities include designing user-friendly and proficient Developer Experience, as well as deploying models in an efficient and scalable manner.
The position offers an exciting opportunity to work at the intersection of AI model architectures and hardware technologies.
Candidates should have an interest in low-level system integrations, compiler support, and framework optimizations.

Requirements:

Candidates should have experience in integrating features from hardware partners using Python/C++.
A strong focus on performance is essential, along with the ability to design rich and easy Python APIs.
Experience with Linux or embedded devices is considered a great plus for this position.
A passion for advancing machine learning and contributing to a community-driven project is important.

Hugging Face offers flexible working hours and remote work options to support employee well-being.
Health, dental, and vision benefits are provided for employees and their dependents, along with parental leave and flexible paid time off.
Employees are encouraged to grow professionally, with reimbursement for relevant conferences, training, and education.
All employees receive company equity as part of their compensation package, allowing them to share in the company's success.
The company fosters a culture of diversity, equity, and inclusivity, ensuring a respectful and supportive workplace for all.