Senior Python Software Engineer, ML Developer Tools

🕒 June 2

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 26%

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Logo of Hugging Face

Hugging Face

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Hugging Face is a collaborative platform for the machine learning community, focusing on models, datasets, and applications. It offers a wide range of tools and resources for creating, discovering, and sharing machine learning models and datasets. Hugging Face provides open-source ML tools, including frameworks for PyTorch, TensorFlow, and JAX, as well as advanced solutions for businesses through its enterprise offerings. The company hosts thousands of models, datasets, and applications, serving as a central hub for AI research and development.

📋 Description

• 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.

🎯 Requirements

• Bachelor’s degree or equivalent in Computer Science or a related field • 5+ years of professional Python development experience • Experience architecting complex Python projects or frameworks • Professional experience with JavaScript or TypeScript • Professional experience with a modern frontend framework such as React or Svelte • Experience contributing to or maintaining open-source software projects

🏖️ Benefits

• Health, dental, and vision benefits for employees and their dependents • Parental leave • Flexible paid time off • Reimbursement for relevant conferences, training, and education • Flexible working hours • Remote work options • Company equity

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