Machine Learning Engineer, WebML - US Remote

Hugging Face; New York (NY); Remote; USD 140,000 - 200,000; Full time

Job summary

Join a leading company focused on democratizing AI as a Machine Learning Engineer. You'll work at the intersection of software engineering and machine learning, contributing to the development of user-friendly libraries for web developers. This role offers the chance to be part of a diverse team and make a significant impact in the open-source community.

Benefits

Flexible working hours

Remote work options

Reimbursement for conferences and training

Workstation outfitting

Qualifications

• Experience in web machine learning and community management.
• Familiarity with tools like optimum, torch dynamo, and onnxscript.

Responsibilities

• Expand Hugging Face ecosystem to web developers.
• Create and maintain JS/TS machine learning libraries.

Skills

Open source community management

Machine learning

JavaScript

TypeScript

Tools

optimum

torch dynamo

onnxscript

onnxruntime-genai

Job description

Machine Learning Engineer, WebML - US Remote

Machine Learning Engineer, WebML - US Remote

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

This role operates at the intersection of software engineering, machine learning, and open-source community building. The focus will be to expand the Hugging Face ecosystem to web developers through the creation and maintenance of easy-to-use JS/TS machine learning libraries.

About You

We're looking for candidates with experience in the following aspects of web machine learning:

• Open source community management: issue tracking, PR review, etc.
• Experience with tools like optimum, torch dynamo, onnxscript, onnxruntime-genai are all positives

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 support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, 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 support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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