Hugging Face

Hugging Face is dedicated to advancing and democratizing machine learning for all, contributing positively to technological development. With over 5,000 companies, including major AI organizations, utilizing their technology, they are at the forefront of innovation.

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🏢 Hugging Face

👥 51-200💰 $235.0m Series D on 2023-08-23Software Development

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🔥 Senior UI Engineer - International Remote

Posted 2024-10-24

📍 France

🧭 Full-Time

🔍 Machine Learning and Artificial Intelligence

Computer Science degree.
5+ years of UI design experience.
Interest in Machine Learning.
Expertise in UX software like Figma or Sketch.
Ability to understand detailed requirements and design complete user experiences.
Extensive experience with UX design best practices.
Deep understanding of mobile-first and responsive design.
Ability to iterate designs efficiently.
Synthesis of company-level goals for team collaboration.
Fluent in English.

Work with the Product team and take ownership of the product.
Be responsible for ensuring the product's success in the market.
Imagine and build new features for the Hugging Face Hub and other potential products.
Contribute to products in the Developer tools and machine learning space.
Define your role and day-to-day activities based on your interests.

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Posted 2024-10-24

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🔥 Wild Card

Posted 2024-10-17

📍 United States

🔍 Machine learning and artificial intelligence

NOT STATED

If you don't see the perfect job position, just apply to this one - we'll brainstorm with you to put you in position to do the best work of your life at Hugging Face.
We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from.

Posted 2024-10-17

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🔥 Machine Learning Advocate Engineer for Computer Vision - EMEA Remote

Posted 2024-10-17

📍 France

🔍 Machine Learning, Open Source Software

Good engineering skills combined with solid communication skills are highly desired.
Experience in Open Source development is a huge bonus.
Existing engagement in different platforms (GitHub, LinkedIn, Twitter, Reddit, etc.) is a bonus but not required.
Proficiency in other human languages and deep connections with the local ecosystem is a substantial bonus.

Build integrations with open-source libraries in the CV space to support collaborations through the Hub platform.
Craft and distribute high-quality content such as demos and blog posts.
Co-organize events in which state-of-the-art CV models are created.
Collaborate closely with the Open Source, Science, and Product teams.

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Posted 2024-10-17

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🔥 Cloud Machine Learning Engineer - EMEA remote

Posted 2024-10-17

📍 France

🔍 Machine Learning, Artificial Intelligence

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 and services like 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, and MongoDB, Kubernetes are helpful.
Ability to write clear documentation, examples and definition and work across the full product development lifecycle.

Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider.
Ensuring the above models meet the expected performance.
Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users.
Write technical documentation, examples and notebooks to demonstrate new features.
Sharing & Advocating your work and the results with the community.

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Posted 2024-10-17

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🔥 Post-Sales Machine Learning Solutions Engineer - US Remote

Posted 2024-10-16

📍 United States

🧭 Full-Time

🔍 Artificial Intelligence / Machine Learning

Experience building NLP/Vision solutions; must understand the ML lifecycle and basics of cloud infrastructure.
Proficiency with the transformers library is essential.
Self-starter who can tackle hard problems independently.
Attention to detail in communication and problem-solving.
Strong customer relationship building skills.
Ability to communicate technical solutions to non-technical audiences.
Comfortable writing code scripts and notebooks on transformers/ML Ops use cases.
Quick learner; enjoys staying updated on developments in AI/ML.

Empathize with customers to understand their issues and goals when using transformers (NLP and Vision primarily).
Solve customer problems through research, coding, or collaboration with in-house experts.
Build meaningful relationships with customers and understand their goals.
Explain complex concepts to technical and non-technical audiences.
Learn constantly and share knowledge with customers.

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Posted 2024-10-16

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🔥 Machine Learning Optimization Evangelist - US remote

Posted 2024-10-15

📍 United States

🔍 Machine Learning and Artificial Intelligence

You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the hardware ability.
You love learning new challenging engineering concepts and technologies, and discussing them with engineers.
You are a great communicator and educator, comfortable with public speaking to technical audiences.
You love engaging with the ML community in a positive and helpful way.
Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc.) or other communication/education channels is expected.
Having experience in Open Source development will be helpful.

As a Machine Learning Optimization Evangelist, your goal will be to increase the impact of the Hugging Face ML Optimization team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads.
Your impact will be driving visibility and usage of integrations with strategic partners through activities including publishing technical blog posts, contributing documentation and code examples, speaking to business and technical audiences at partner conferences, participating in or producing webinars, building and evangelizing demos, and leading GTM conversations with strategic partners.

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Posted 2024-10-15

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Hugging Face

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