Machine Learning Engineer, Hugging Face
WebML
Community-driven platform for ML models
Be an early applicant
Community-driven platform for ML models
201-500 employees
Be an early applicant
201-500 employees
Company mission
Hugging Face is on a mission to democratize good machine learning, one commit at a time.
Role
Who you are
- We’re looking for candidates with experience in the following aspects of web machine learning:
- Open source community management: issue tracking, PR review, etc
- ONNX, quantization: converting and optimizing models for in-browser inference
- Experience with tools like optimum, torch dynamo, onnxscript, onnxruntime-genai are all positives
- Web technologies like WebGPU, WebNN, WASM: to enable running models in-browser at near-native speeds
- JavaScript/web experience: e.g., building demo applications to showcase new features
What the job involves
- Hugging Face maintains a large collection of open source machine learning libraries, including transformers, diffusers, and datasets, just to name a few
- However, these are all implemented in Python, meaning they aren’t as easily accessible to JavaScript/TypeScript developers
- So, in order to grow the Hugging Face ecosystem, we decided to build projects like transformers.js and huggingface.js with the primary goal of bridging the gap between web development and machine learning
- WebML (Web Machine Learning) unlocks a range of new possibilities for building web applications by enabling models to run locally in the browser
- Combining on-device machine learning with the plethora of APIs that browsers provide, empowers developers to create low-latency, interactive, and privacy-focused applications that can scale and reach users without them needing to install anything!
- 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
Our take
Large language models, which recognize and generate text, are already being used to auto-complete sentences, power chat bots, moderate content, summarize news articles, and translate text online. However, many of these advances are happening behind closed doors, stifling innovation and raising ethicacy 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 to create personalised chat assistants, in direct competition to 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
36% employee growth in 12 months
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
(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
(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
(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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