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Open-Source Machine Learning Engineer - International Remote Job Opening In New York – Now Hiring Hugging Face


Job description

At Hugging Face, we’re on a journey to democratize good AI.

We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps.

Our open-source libraries have more than 400k+ stars on Github.

About the Role

As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem.

You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem.

We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful.

You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build.

You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, our forums, or slack.

About you

If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application!

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.

We're happy to consider where you might be able to make the biggest impact.

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 flexible 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.

Requirements

Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face.

We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Open Source Potential: Insight & Career Growth Guide


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Are You Looking for Open Source Machine Learning Engineer International Remote Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Hugging Face adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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2. Loyalty

3. Impartiapty

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Interview Tips for Open Source Machine Learning Engineer International Remote Job Success

Hugging Face interview tips for Open Source Machine Learning Engineer   International Remote

Here are some tips to help you prepare for and ace your Open Source Machine Learning Engineer International Remote job interview:

Before the Interview:

Research: Learn about the Hugging Face's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Open Source Machine Learning Engineer International Remote interview at Hugging Face, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Hugging Face's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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