Remote On-device ML Engineer - EMEA 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 and tools 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 and optimization techniques.

Requirements:

• Experienced Swift Developer with a strong background in Swift development and a good sense of software and application design.
• Passionate about machine learning with a deep understanding of model architectures.
• Proficient in Core ML with knowledge of its advantages and limitations.
• Open-source contributor eager to publish and contribute to libraries for ML adoption.
• Versatile engineer able to move across different levels of abstraction and write readable code.
• Familiar with optimization techniques, system understanding, and various frameworks such as llama.cpp, MLX, PyTorch, and CoreNet.
• Skilled debugger with the ability to write excellent technical documentation and engage in community discussions.

Benefits:

• Work with a diverse team that values diversity, equity, and inclusivity.
• Reimbursement for relevant conferences, training, and education to support your development.
• Flexible working hours and remote options for a better work-life balance.
• Health, dental, and vision benefits for you and your dependents, along with parental leave and flexible paid time off.
• Remote employees have the opportunity to visit office spaces in NYC and Paris, with workstations tailored for success.
• Company equity for all employees, ensuring everyone benefits if the company succeeds in the machine learning and artificial intelligence space.