Ml Research Engineer Intern
Hugging Face
πRemote - United States
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Job highlights
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)
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