huggingface

Hugging Face is a website that offers a wide range of natural language processing (NLP) tools and resources. It is a platform where developers, researchers, and enthusiasts can access state-of-the-art NLP models, datasets, and pre-trained models. The website also provides a user-friendly interface for building, fine-tuning, and deploying NLP models, making it easier for users to leverage the power of artificial intelligence in their projects. Additionally, Hugging Face hosts a community forum where users can collaborate, share ideas, and get help from fellow NLP enthusiasts. Overall, Hugging Face is a valuable resource for anyone working in the field of natural language processing.

  • Encrypted
    Site is Encrypted

  • Country
    Hosted in United States

  • City
    Montreal, Quebec

  • Latitude\Longitude
    45.5362 / -73.5754    Google Map

  • Traffic rank
    #65,908 Site Rank

  • Site age
    8 yrs old

  • Site Owner information
    Whois info

Traffic rank
#65,908
Site age
8 yrs
Location
United States
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Newest job postings for huggingface
via Jobs By Workable schedule_type: Full-timework_from_home: 1
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! More about Hugging Face... We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational 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!

More about Hugging Face...

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community
Show more details...
via Jobs By Workable schedule_type: Full-timework_from_home: 1
Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic, Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 130K+ models and 110K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including... leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

As a product marketer, you’ll play a key role in supporting our monetization efforts, developing product marketing initiatives to increase awareness of our paid solutions, and generate a sales pipeline to support our company’s exponential growth.

We are still in the early stages of the GTM of our paid solutions, and we need your help to experiment and learn about what resonates best for attracting and converting leads with product marketing. We need to develop our self-serve & sales-driven paid solutions, understand and clearly communicate the value they provide, and then convey why our community should be excited to use them and even reach out to sales to learn more! Also, since we are constantly iterating and improving, you’ll likely get called in to help develop and market new ideas before they become repeat products for us!

About You

You’ll enjoy working with us if you think strategically but have the capacity to be nimble, practical, and creative to solve problems. You should love all things marketing and be able to communicate, showcase and demo existing and new features of our paid solutions. You’ll need to be creative and thoughtful in order to build industry-specific content for our products. For example, we’ll likely need someone who can tackle a landing page on one day, write a blog post with customer references from the Healthcare industry on the next, and possibly even lead a webinar demoing one of our products for the finance industry at the end of the week.

We’d love for you to apply if:
• You have experience building a comprehensive product marketing program that uses data to drive effective results
• You have the ability to communicate complex technical topics in simple terms
• You’re scrappy and have a get-it-done mindset
• You love autonomy and can operate independently
• You are super excited to create stuff from scratch

If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and unlimited paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community
Show more details...
via Upwork posted_at: 3 days agoschedule_type: Contractorsalary: 20–75 an hourwork_from_home: 1
We are currently seeking a highly skilled Machine Learning Engineer with a particular expertise in deploying Stable Diffusion Models on the Hugging Face platform. As part of our team, you will work on a project involving the deployment of state-of-the-art machine learning models. Our main aim is to utilize Stable Diffusion Models and make them accessible through Hugging Face's... infrastructure. Responsibilities: - Deploy Stable Diffusion Models We are currently seeking a highly skilled Machine Learning Engineer with a particular expertise in deploying Stable Diffusion Models on the Hugging Face platform.

As part of our team, you will work on a project involving the deployment of state-of-the-art machine learning models. Our main aim is to utilize Stable Diffusion Models and make them accessible through Hugging Face's... infrastructure.

Responsibilities:

- Deploy Stable Diffusion Models on Hugging Face.

- Implement, test, and debug the models to ensure optimal performance.

- Collaborate with our team to identify the best practices for model implementation and deployment.

- Address and resolve any technical issues related to the model's deployment.

- Maintain clear and detailed documentation of all processes and implementations.

Qualifications:

- Proven experience in deploying machine learning models, preferably Stable Diffusion Models.

- Proficiency in using Hugging Face for model deployment.

- Strong knowledge of Python and common machine learning libraries.

- Familiarity with the technical aspects of AI and machine learning models.

- Excellent problem-solving skills and the ability to debug and optimize code.

- Ability to work in a team and collaborate on various tasks.

- Excellent communication and documentation skills.

Nice to Have:

- Previous experience working with generative models.

- Published research in the field of machine learning.

- Experience with GPT models.

- Please provide examples of previous machine learning projects you've worked on, and specifically any experience you have with Stable Diffusion Models and Hugging Face.

Looking forward to your applications
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