Graduate Jobs at Hugging Face
“Hugging Face seeks an Open-Source Machine Learning Engineer in Paris to develop AI for Robotics. The role involves ML model integration, core library development, feature exploration, community engagement, and infrastructure management. Candidates should have an MS or PhD in Computer Science or related fields, strong PyTorch experience, and excellent software skills. Experience with open-source robotics libraries is a plus.”
“Hugging Face seeks a Data/Infrastructure Advocate Engineer to bridge data infrastructure and global communities. The role involves promoting Xet storage, collaborating with teams, and creating tutorials. Ideal candidates have strong Python, data libraries, and storage systems skills, with a passion for open source and community engagement. The company offers flexible remote work, benefits, and equity.”
“Hugging Face seeks a Cloud Machine Learning Evangelist to educate ML practitioners on accelerating workloads. The role involves technical blogging, documentation, public speaking, and demo building. Collaborate with major cloud and AI partners. Remote work, equity, and benefits offered.”
“Hugging Face seeks a Cloud Machine Learning Engineer to build AI solutions using cloud technologies. The role involves integrating open-source libraries with major cloud platforms, designing developer experiences, and advocating work within the community. Skills in Hugging Face technologies, deep learning frameworks, and cloud platforms are required. The company offers remote work, benefits, and equity.”
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