Remote Machine Learning Engineer Internship, Information Retrieval - US Remote
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Description:
Hugging Face is seeking a Machine Learning Engineer Intern for Information Retrieval, with a focus on advancing Machine Learning accessibility.
The role involves implementing an existing neural sparse model architecture and a matching trainer into the Sentence Transformers library, prioritizing ease of use.
The internship aims to address the lack of accessible solutions for training or fine-tuning neural sparse models.
The position is remote and full-time, allowing for flexible working hours.
Requirements:
Candidates should have a passion for open-source technology and a creative mindset.
A strong interest in making complex technology more accessible to engineers and artists is essential.
Applicants are encouraged to apply even if they do not meet every requirement, as the company values diverse skills and experiences.
A commitment to contributing to a diverse and inclusive workplace is expected.
Benefits:
Hugging Face offers reimbursement for relevant conferences, training, and education to support employee development.
The company provides flexible working hours and remote work options, ensuring employee well-being.
Employees have the opportunity to visit office spaces located around the world, particularly in the US, Canada, and Europe.
The organization is committed to building a supportive community within the ML/AI field, fostering collaboration and scientific advancements.
Apply now
Please, let Hugging Face know you found this job
on RemoteYeah
.
This helps us grow π±.