Remote On-device ML Engineer - US Remote

Description:

• As an On-device ML Engineer at Hugging Face, you will focus on running models on consumer platforms, particularly Apple technologies, by optimizing, quantizing, and converting models for efficient execution on iPhones and Macs.
• You will design, build, and contribute to open-source software showcasing model usage, develop libraries to simplify ML for developers unfamiliar with the field, and work towards disseminating these methods to the community.
• Day-to-day tasks include model evaluation, optimizing model architectures for Apple Silicon platforms, writing Swift code for ML tasks, creating technical documentation, contributing to open-source projects, and developing tools for easy model conversion and sharing.
• You should be prepared to understand low-level code and engage in discussions about ML topics.

Requirements:

• Experienced Swift Developer with a strong background in Swift development and a good sense of software and application design.
• Deep understanding of essential model architectures and a passion for machine learning.
• Proficiency in Core ML with knowledge of its advantages and limitations.
• Eagerness to publish and contribute to open-source libraries.
• Ability to move across different levels of abstraction, write readable code, and understand optimization techniques.
• Strong systems understanding, experience with various frameworks, good debugging skills, and excellent technical documentation capabilities.

Benefits:

• Work with a diverse team where skills, experiences, and backgrounds complement each other.
• Reimbursement for relevant conferences, training, and education to support development.
• Flexible working hours and remote options, health, dental, and vision benefits, parental leave, and flexible paid time off for well-being.
• Remote employees have the opportunity to visit office spaces in NYC and Paris, with workstations outfitted for success.
• All employees receive company equity as part of their compensation package, providing the opportunity to benefit from the company's success in machine learning and artificial intelligence.