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 like The Cauldron and Docmatix.
The position includes engaging in cutting-edge research to explore new techniques in multimodal learning, 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:

Applicants must provide a cover letter explaining their interest in working in open-source at Hugging Face.
The cover letter should detail the applicant's skills, potential expertise, and topics of interest for collaboration.
A passion for making complex technology accessible to engineers and artists is essential.
Candidates should be enthusiastic about contributing to a fast-growing ML ecosystem.

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 options, accommodating employees' needs.
Remote employees have opportunities to visit office spaces located around the world, particularly in the US, Canada, and Europe.
Hugging Face fosters a collaborative community that supports advancements in the ML/AI field.