ML Research Engineer, Internship, Hugging Face, SmolLMs, Pretraining, Datasets, EMEA Remote, AI, Open-Source
Join Hugging Face, one of the fastest-growing AI platforms, with over 5 million users and 100k organizations. Hugging Face is democratizing AI through open-source technologies, building tools used by AI engineers, researchers, and artists around the world. This internship will give you the opportunity to work alongside the SmolLM team on the cutting edge of AI research.
Job Description Details
| Details | Description |
|---|---|
| Company Name | Hugging Face |
| Post Name | ML Research Engineer Internship, SmolLMs Pretraining and Datasets |
| Employment Type | Full-time, Internship (Remote) |
| Job Location | EMEA Remote (Europe, Middle East, Africa) |
| Job ID | Internship Position |
| Worksite | Fully Remote |
| Role Type | Internship |
| Profession | Research, Machine Learning, AI Research |
| Discipline | AI, Research, Machine Learning, Open-Source |
| Postal Code | N/A |
About the Internship at Hugging Face
Hugging Face is a leader in open-source machine learning, and the SmolLM team is at the forefront of building smol language models (small but powerful models) aimed at optimizing inference costs and privacy. During your internship, you will work on developing high-quality pre-training datasets and apply advanced training techniques to smol models. You’ll collaborate with the team to iterate on datasets and models, leveraging state-of-the-art distributed training infrastructure.
Job Summary for Hugging Face Internship
As an ML Research Engineer Intern, you will be deeply involved in building next-generation smol models by iterating on datasets, training models, and applying cutting-edge architecture. You will work on Hugging Face’s distributed training infrastructure to process datasets and develop smol models using the latest research and tools.
Responsibilities for Hugging Face Internship
- Iterate on datasets and models quickly to develop smol language models.
- Work with a distributed CPU and GPU cluster to preprocess datasets and train models.
- Apply the latest training techniques and architectures to smol models.
- Collaborate with the team to improve SmolLM datasets and model performance.
- Contribute to the open-source community by sharing findings, research, and innovations.
- Work towards building high-quality datasets for training smol models at scale.
Essential Skills for Hugging Face Internship
- Proficiency in Python, with experience in data processing, machine learning, or model training.
- A strong interest in AI and machine learning, particularly in building and optimizing models.
- Experience with open-source technologies and a passion for contributing to open-source projects.
- Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
- Basic understanding of datasets and working with distributed systems for training large models.
- Creativity and problem-solving skills, with a strong interest in optimizing models and datasets for better performance.
What You Can Expect
- Work with one of the leading teams in AI and machine learning at Hugging Face.
- Remote work flexibility, with a chance to collaborate with a global team of researchers and engineers.
- Opportunities to contribute to open-source ML research and make an impact in the AI community.
- Exposure to distributed training infrastructure and cutting-edge AI technologies.
Why You’ll Love Working at Hugging Face
- Flexible working hours and remote work options to support your work-life balance.
- Collaboration with brilliant minds in the AI and machine learning community.
- Opportunities for growth through mentorship and involvement in impactful research.
- Support for well-being, with a focus on creating an inclusive, respectful, and diverse workplace.
- Hugging Face is an Equal Opportunity Employer that values diversity, equity, and inclusion
Apply Now for the ML Research Engineer Internship at Hugging Face and be part of a team pushing the boundaries of AI research and development!
