Machine Learning Research Engineer, Hugging Face
AI Agents
+Equity
More information about location
Community-driven platform for ML models
Be an early applicant
Community-driven platform for ML models
201-500 employees
Be an early applicant
+Equity
More information about location
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
- Enthusiastic about agents
- Are a generalist engineer with an ability to pick up new frameworks quickly and willing to work across the stack, from framework maintenance to model training to redacting research reports
- Comfortable working in a fast-paced and ambiguous environment, aka shifting sands of startup land. This includes communicating with other teams to efficiently join forces, in Hugging Face’s very decentralized/anarchic organization
- Excited to be a builder for builders! Empathy for developers across the stack and an enthusiasm for developer-first products
- Enjoy understanding technical domains deeply and are willing to really get into the weeds
What the job involves
- Building agents is both exciting and challenging as it lies at the intersection of post-training, inference, orchestration as well as UX design. This job will include the whole agent stack, including:
- Maintain and improve smolagents
- Build libraries and code around agents and GUI agents
- Prepare fine-tuning datasets, training recipes, and inference orchestration
- Leverage our large H100 cluster for large scale processing and model training
- Release any code we built, as well as the model serving as a foundation for the community to build on, possibly as a new GUI agent framework and/or research papers
- Collaborate and empower the community to build on top of our tools
- At Hugging Face, everything you do will have an outsized impact. Every employee is empowered to take important decisions, and every decision has a global reach thanks to our massive open-source community. This is the place on Earth where you have the best chances to make a 1000x impact
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!
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
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
Share this job
View 43 more jobs at Hugging Face