Ml Research Engineer Intern

Summary

Join Hugging Face, a leading platform democratizing AI, as an intern on the SmolVLM project. You'll contribute to enhancing a state-of-the-art, open-source vision-language model. Responsibilities include developing and optimizing the model's architecture, training it on high-performance computing clusters, and conducting cutting-edge research in multimodal learning. This internship provides invaluable experience in advanced machine learning techniques and impactful contributions to the AI community. Hugging Face fosters a diverse and inclusive workplace, offering flexible working hours and remote options, along with professional development opportunities.

Responsibilities

• Develop and Optimize Vision Language Models: Collaborate with our team to enhance the SmolVLM architecture. You'll improve its efficiency, memory footprint, and performance, ensuring it remains a leading model given its compact size
• Train Models on Our High-Performance Computing Cluster: Use our cluster with 100s of H100s to train and fine-tune SmolVLM models on large-scale, open-source datasets like The Cauldron and Docmatix
• Research and Experimentation: Engage in cutting-edge research to explore new techniques in multimodal learning. You'll experiment with context extension and efficient image encoding

Preferred Qualifications

• Love open-source and have an eye for art and creativity
• Passionate about making complex technology more accessible to engineers and artists
• Want to contribute to one of the fastest-growing ML ecosystems

Benefits

• Reimbursement for relevant conferences, training, and education
• Flexible working hours and remote options
• Opportunity to visit offices (if remote)
• Workstation outfitting (if needed)