Machine Learning Engineer, Hugging Face

Multimodal Generation

Salary not provided

Boost

Slack

Junior, Mid and Senior level

Remote from Europe, UK

Community-driven platform for ML models

Job no longer available

Community-driven platform for ML models

501-1000 employees

B2CB2BEnterpriseDeep TechMachine LearningSaaSCommunity

Job no longer available

Salary not provided

Boost

Slack

Junior, Mid and Senior level

Remote from Europe, UK

501-1000 employees

B2CB2BEnterpriseDeep TechMachine LearningSaaSCommunity

Company mission

Hugging Face is on a mission to democratize good machine learning, one commit at a time.

Job

Company

Role

Who you are

If you love open source, are passionate about making complex technology more accessible, have experience building and training large models, and want to contribute to one of the fastest-growing ML libraries, 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 backgrounds complement one another
We're happy to consider where you might be able to make the biggest impact

What the job involves

As a Machine Learning Engineer specializing in NLP, multimodal models, and generation, you will work mainly with existing open-source libraries, such as Transformers and others to boost the support for all the new advances in multimodal model inference and generation
You will work alongside experts to enable new, novel use-cases and support the community to build the future of open-source Machine Learning
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

Our take

Large language models, which recognise and generate text, are already being used to auto-complete sentences, power chatbots, moderate content, summarise news articles, and translate text online. However, many of these advances are happening behind closed doors, stifling innovation and raising ethical concerns.

To combat this, Hugging Face is building the "GitHub of machine learning". It’s a community-driven platform with a ton of repositories, where developers can create, discover and collaborate on ML models, datasets and ML apps. This work led to the creation of BLOOM in 2022, an open-access LLM with similar architecture to OpenAI’s GPT, but that is multilingual by design.

The company also launched the Hugging Chat Assistant, an open-source tool creating personalised chat assistants, in direct competition with OpenAI's paid service ChatGPT Plus. By continually creating value based on a global community, not just for Microsoft or Google, HuggingFace should be able to carve out its own path for success.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

36% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 7 rounds)

Aug 2023

$235m

SERIES D

May 2022

$100m

SERIES C

Total funding: $395.8m

Company benefits

Flexible Work Environment
Health Insurance
Unlimited PTO
Equity
Growth, Training, & Conferences
Generous Parental Leave

Company HQ

Dumbo, NY

Leadership

Clem Delangue

(Co-Founder & CEO)

Created Moodstocks, a startup building machine learning for computer vision acquired by Google. Also built Mention where they were head of Product and CMO until the company was acquired by MyNewsDesk.

Julien Chaumond

(Co-Founder & CTO)

Former advisor for the Deputy Minister for Digital Affairs in Paris, and Senior engineer for Stupefix app that was acquired by GoPro. Also co-founded and was CTO of Glose.

Thomas Wolf

(Co-Founder & CSO)

After graduating from Ecole Polytechnique, they worked on laser-plasma interactions at the BELLA Center of the Lawrence Berkeley National Laboratory. Also worked as a European Patent Attorney for 5 years.

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