Description:

Hugging Face is seeking an ML Research Engineer Intern for the SmolVLM project, focusing on multimodal AI innovation.
The role involves developing and optimizing Vision Language Models, enhancing the SmolVLM architecture for efficiency, memory footprint, and performance.
Interns will train models on a high-performance computing cluster with hundreds of H100s, utilizing large-scale, open-source datasets.
Responsibilities include engaging in cutting-edge research and experimentation in multimodal learning, exploring new techniques such as context extension and efficient image encoding.
This internship provides a unique opportunity to gain practical experience with advanced machine-learning techniques and contribute to impactful AI projects.

Requirements:

Candidates must provide a cover letter explaining their interest in working in open-source at Hugging Face.
The cover letter should highlight relevant skills, potential expertise, and specific topics of interest for the internship.
A passion for making complex technology accessible to engineers and artists is essential.
Candidates should be open to applying even if they do not meet every requirement, as Hugging Face values diverse skills and experiences.

Hugging Face promotes a culture of diversity, equity, and inclusivity, ensuring a respectful and supportive workplace.
Employees have access to reimbursement for relevant conferences, training, and education to support their professional development.
The company offers flexible working hours and remote work options, with opportunities for remote employees to visit office spaces.
Workstations will be outfitted to ensure employees can succeed in their roles.
Employees are encouraged to join a community that supports significant scientific advancements through collaboration in the ML/AI field.