
Open-Source Machine Learning Engineer
Posted May 30

Posted May 30
This is a fully remote position, open to applicants in France.
• Contribute to the enhancement of the open-source machine learning ecosystem.
• Primarily focus on established open-source libraries such as Transformers, Datasets, Pytorch, and vLLM.
• Engage with users and contributors throughout the expansive open-source ML ecosystem.
• Assist in nurturing one of the most vibrant machine learning communities.
• Collaborate daily with researchers, ML practitioners, and data scientists via GitHub, our forums, and Slack.
• Proficient in Python, with a proven track record of writing clean, well-tested, and maintainable library code.
• Extensive hands-on experience with a contemporary deep-learning framework, particularly PyTorch (experience with JAX or TensorFlow is an advantage).
• Practical knowledge of the Hugging Face open-source stack (Transformers, Datasets, Accelerate) or similar ML libraries.
• A demonstrable public record of open-source contributions, such as merged pull requests to ML or data libraries, available for review on GitHub.
• Strong understanding of modern machine learning and deep learning principles, including transformer architectures.
• Experience working collaboratively within a technical community in an open environment (GitHub issues and reviews, forums, Slack, or Discord).
• Excellent written English skills for effective asynchronous collaboration with a distributed, global community.
• Health, dental, and vision benefits for employees and their dependents.
• Parental leave.
• Flexible paid time off.
• Flexible working hours and remote work options.
• Reimbursement for applicable conferences, training, and educational pursuits.
• Company equity included in the compensation package.
Hyatt
Scopic
Perform
Greenlight Planet
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