Hugging Face

Backend Engineer

• Designing, developing, and maintaining core features for Gradio and Trackio, ensuring scalability, reliability, and ease of use for ML developers.
• Architecting complex Python projects and frameworks that serve as foundational tools for the ML community.
• Collaborating with open-source contributors and engaging with the broader community through code reviews, discussions, and support.
• Integrating modern frontend technologies to create seamless and intuitive user experiences for Python-based web applications.
• Adapting to evolving engineering challenges and contributing to the direction of our developer tools as the landscape changes.

Senior Python Software Engineer, ML Developer Tools

Machine Learning Engineer

• work to improve the open-source machine learning ecosystem
• mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM
• interact with users and contributors across the broad open-source ML ecosystem
• help foster one of the most active machine learning communities, helping users contribute to and use the tools built
• work with researchers, ML practitioners, and data scientists every day through GitHub, forums, and Slack

Open-Source Machine Learning Engineer

Engineer

• Grow and nurture the open-source data/infra community: launch initiatives, collaborate with data-focused groups, and organize events or challenges
• Promote the Hugging Face Hub as the go-to platform for data storage, versioning, and collaboration, curating and showcasing datasets, benchmarks, and tools like Xet
• Highlight use cases like efficient large-dataset updates, Parquet editing, and deduplication to demonstrate the Hub's value for data workflows
• Create demos, benchmarks, and tools (for example Colab notebooks) that illustrate best practices for data storage and versioning, and experiment with Xet, Parquet, and other formats
• Produce high-quality tutorials, blog posts, and videos that make complex topics accessible
• Share insights on storage optimization, dataset versioning, and deduplication to empower developers
• Actively participate in online communities (Discord, GitHub, forums) to highlight contributions, answer questions, and foster collaboration
• Make sure datasets and tools released on the Hub are well-documented, with clear examples, benchmarks, and use cases

Data Advocate Engineer

Developer Relations

• Grow the impact of the Hugging Face ML Cloud team by teaching the community of ML practitioners how to accelerate their training and inference workloads
• Work through strategic collaborations with major cloud services (AWS, GCP, Azure, Cloudflare) and AI accelerators (NVIDIA, AMD, Intel Gaudi, etc.)
• Publish technical blog posts
• Contribute documentation and code examples
• Speak to business and technical audiences at partner conferences
• Produce and run webinars
• Build and show off demos
• Lead go-to-market conversations with strategic partners

Senior Python Software Engineer, ML Developer Tools

Open-Source Machine Learning Engineer

Data Advocate Engineer

Cloud ML DevRel Engineer