Remote Jobs at Hugging Face

Candidates should possess deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, and Datasets, along with expertise in Deep Learning Frameworks, preferably PyTorch or XLA. Strong knowledge of cloud platforms such as AWS, Azure, or GCP, including services like Amazon SageMaker, EC2, S3, CloudWatch, and familiarity with MLOps pipelines, containerization with Docker, and experience with Typescript, Rust, and MongoDB are required.

- Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets - Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding - Strong knowledge of cloud platforms like AWS (Amazon SageMaker, EC2, S3, CloudWatch) and/or Azure and GCP equivalents - Experience in building MLOps pipelines for containerizing models and solutions with Docker - Familiarity with Typescript, Rust, MongoDB, and Kubernetes - Ability to wri…

- Experience in cutting-edge machine learning research and/or collaboration with research communities (e.g., Jean-Zay, Alan Turing Institute, PRACE, Lawrence Berkeley National Laboratory, Institute for Quantum Computing) - Generalist Research Engineer with ability to experiment with different models and maximize impact in the science machine learning community - Comfortable working in a fast-paced and ambiguous environment, including communicating and collaborating in a decentralized organizatio…

- Experience in cutting-edge machine learning research and/or collaboration with research communities (e.g., Jean-Zay, Alan Turing Institute, PRACE, Lawrence Berkeley National Laboratory, Institute for Quantum Computing) - Generalist Research Engineer with ability to experiment with different models and maximize impact in the science machine learning community - Comfortable working in fast-paced, ambiguous environments, including communicating and collaborating in a decentralized organization - …

- Experience with Typescript, Node.js, and MongoDB - Good understanding of low-level systems programming (e.g., through C, Go, or Rust) - Experience working collaboratively across the stack on online payment systems - Ability to work in a fast-paced environment

- Experience with Typescript, Node.js, and MongoDB - Good understanding of low-level systems programming (e.g., through C, Go, or Rust) - Experience working collaboratively across the stack on Online payment systems - Ability to work in a fast-paced environment

- Proven experience working with modern machine learning frameworks (e.g., Transformers, PyTorch) and large-scale software projects - Mindset that treats testing as a strategic priority, not a secondary task—demonstrating how robust testing directly enables project scalability - Strong belief in architecting for growth: prioritizing scalable, modular testing systems over isolated, atomic tests - Experience managing high-volume test suites (100K+ tests) and cross-platform testing challenges - Fam…

- Proven experience working with modern machine learning frameworks (e.g., Transformers, PyTorch) and large-scale software projects - Mindset that treats testing as a strategic priority, not a secondary task—demonstrating how robust testing directly enables project scalability - Strong belief in architecting for growth: prioritizing scalable, modular testing systems over isolated, atomic tests - Experience managing high-volume test suites (100K+ tests) and cross-platform testing challenges - Fam…

- Bachelor’s degree in Business, Engineering, Computer Science, or a related field - 4+ years of experience in B2B sales in the AI, ML, or data science communities in the US (ideally in developer tools, open-source, or AI/ML platforms) - Proven track record of meeting or exceeding quota in complex, technical sales environments - Strong understanding of machine learning, AI, or software development workflows (comfortable speaking with engineers) - Experience selling to technical buyers (e.g., ML …