Hugging Face Logo

Hugging Face

Open-Source Machine Learning Engineer - International Remote

Reposted 22 Days Ago
Remote
Hiring Remotely in United States
Junior
Remote
Hiring Remotely in United States
Junior
As an Open-Source Machine Learning Engineer, you will enhance the ML ecosystem by collaborating with users, contributors, and improving open-source libraries.
The summary above was generated by AI
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.

Top Skills

Accelerate
Datasets
Machine Learning
Transformers

Similar Jobs

24 Days Ago
Remote
9 Locations
60K-90K Annually
Junior
60K-90K Annually
Junior
Biotech
The LIMS Analyst will develop and document solutions for laboratory information management, ensuring systems meet client specifications and improve workflows. Responsibilities include user training, compliance with regulations, and collaboration with multi-functional teams.
Top Skills: CdsCloud ServicesElnLesLimsOraclePostgresSdmsSQL Server
12 Days Ago
Remote
30 Locations
Senior level
Senior level
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Lead the design and implementation of Evidence Collection and Compliance automation systems, collaborating with teams to enhance system reliability and adhere to regulatory standards.
Top Skills: AWSCi/CdCircleCICloudFormationEc2Gitlab CiIamJenkinsLambdaPythonRdsS3ServerlessTerraform
14 Days Ago
Remote
California, USA
135K-225K Annually
Senior level
135K-225K Annually
Senior level
Healthtech • Biotech
The Staff Hardware Product Owner will lead hardware engineering efforts, drive product development, coordinate cross-functional teams, and manage technical decisions to ensure project success.
Top Skills: Electronic EngineeringHardware EngineeringProject ManagementQuality AssuranceSoftware Engineering

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account