Remote Machine Learning Engineer Internship, Information Retrieval - EMEA Remote
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Description:
Hugging Face is seeking a Machine Learning Engineer Intern for the Information Retrieval team, with a focus on advancing good Machine Learning and making it more accessible.
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, combining both semantic and lexical search methodologies.
The company values diversity, equity, and inclusivity, and encourages applications from individuals with varied backgrounds and experiences.
Requirements:
Candidates should have a passion for open-source technology and a creative approach to making complex technology accessible.
A strong interest in contributing to the Machine Learning ecosystem is essential.
While not all qualifications are mandatory, applicants are encouraged to apply even if they do not meet every requirement.
A commitment to fostering a diverse and inclusive workplace is important.
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.
Workstations will be outfitted to ensure employees can succeed in their roles, regardless of their location.
The company promotes collaboration within the ML/AI community, supporting significant scientific advancements.