Machine Learning Research Engineer (AI Agents)

Overview

Requirements
• Enthusiastic about agents,
• Are a generalist engineer with an ability to pick up new frameworks quickly and willing to work across the stack, from framework maintenance to model training to redacting research reports,
• Comfortable working in a fast-paced and ambiguous environment, aka shifting sands of startup land. This includes communicating with other teams to efficiently join forces, in Hugging Face’s very decentralized/anarchic organization,
• Excited to be a builder for builders! Empathy for developers across the stack and an enthusiasm for developer-first products,
• Enjoy understanding technical domains deeply and are willing to really get into the weeds

What the job involves
• Building agents is both exciting and challenging as it lies at the intersection of post-training, inference, orchestration as well as UX design. This job will include the whole agent stack, including:,
• Maintain and improve smolagents,
• Build libraries and code around agents and GUI agents,
• Prepare fine-tuning datasets, training recipes, and inference orchestration,
• Leverage our large H100 cluster for large scale processing and model training,
• Release any code we built, as well as the model serving as a foundation for the community to build on, possibly as a new GUI agent framework and/or research papers,
• Collaborate and empower the community to build on top of our tools,
• At Hugging Face, everything you do will have an outsized impact. Every employee is empowered to take important decisions, and every decision has a global reach thanks to our massive open-source community. This is the place on Earth where you have the best chances to make a 1000x impact

Company:

Hugging Face

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Clustering, Industry, Machine Learning, NLP, Unspecified