Machine Learning Engineer Internship, Hugging Face
Hardware Optimization
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
- This is your opportunity to make a tangible impact on the AI landscape while working alongside world-class experts and forward-thinking hardware providers
- We value development. You will work with some of the smartest people in our industry
What the job involves
- As an intern on the ML Optimization team, you’ll play a key role in shaping the future of AI
- Your contributions will involve developing and refining cutting-edge solutions for widely-used and emerging hardware platforms, sharing these advancements with the Hugging Face community, and enabling researchers and developers worldwide to access the best tools and technologies
- This is your opportunity to make a tangible impact on the AI landscape while working alongside world-class experts and forward-thinking hardware providers
- Develop an online exporter tool: Create a user-friendly online tool to convert Hugging Face models for specific hardware platforms leveraging Optimum
- 2. Bake the recipes: Author comprehensive guides to help users deploy Hugging Face models on various hardware platforms, including detailed instructions and best practices
- 3. Design User Flow: Develop a seamless flow to guide users from traditional Hugging Face libraries (like Transformers and Diffusers) to alternative hardware backends. This includes integrating these solutions into the Hugging Face Hub and our partners' platforms
- 4. Optimize Hardware Selection: Conduct inference experiments across different hardware backends to identify the strengths and weaknesses of each platform under various scenarios. Provide clear guidelines to help users select the best hardware for their specific tasks
- 5. Advocate and Communicate Insights: Collaborate with the Hugging Face Advocacy team to share your findings and insights through various channels, including blog posts, tweets, leaderboards, Spaces, and YouTube videos. You will educate and inspire the community about the importance of hardware in AI
Application process
- 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
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
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 values
- A strong bias for action and impact
- A generalist & diverse mindset
- A decentralized, progressive and nimble approach
- A kind ambition
Company HQ
Dumbo, NY
Articles
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.
People progressing
Lysandre started as an intern back in 2019 and now leads our Open Source team!
Diversity, Equity & Inclusion at Hugging Face
Emily Witko (DEIB and People Generalist)
- DEIB, at its core, is simply a set of daily practices and behaviors shaped by values that help us understand each other better, respectfully, and with care, despite what we have learned and believe.
- We are a values-driven organization motivated by a shared mission – good ML. To achieve this mission, we must invest in our people. We must foster a diverse and inclusive culture where employees at every level feel empowered to do their best work, are comfortable speaking up and sharing different perspectives, and are met with a strong sense of belonging. A culture where all employees are recognized and valued for their contributions, awarded ample access to opportunity, and are held accountable for how they show up for each other
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