Hugging Face is seeking a Machine Learning Engineer to join the Optimization team, working remotely in the US.
The role focuses on advancing machine learning accessibility and efficiency, contributing to the development of technology for the better.
The engineer will bridge Hugging Face transformers models with state-of-the-art AI hardware and ensure 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 model architectures and hardware technologies, particularly in low-level system integrations, compiler support, and framework optimizations.
Requirements:
Candidates should have a strong interest in low-level system integrations, compiler support, and framework optimizations.
Proficiency in Python and C++ is required for integrating features from hardware partners.
Experience with Linux or embedded devices is considered a great plus.
A passion for working at the intersection of software engineering and machine learning is essential.
Benefits:
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.
The company offers parental leave and flexible paid time off.
Employees are encouraged to grow through 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 promotes a culture of diversity, equity, and inclusivity, ensuring a respectful and supportive workplace for all.
