Machine Learning Ops Engineer, Hugging Face
Community-driven platform for ML models
Job no longer available
Community-driven platform for ML models
501-1000 employees
Job no longer available
501-1000 employees
Company mission
Hugging Face is on a mission to democratize good machine learning, one commit at a time.
Role
Who you are
- You enjoy working here if you love to talk tech, know the different pros and cons of multiple languages and frameworks, and GitHub is in your favorite bookmarks
- You care about users’ experience and understand diversity is great but inclusion is key
- You like to build things (almost) from scratch and thrive in a fast-growing international environment
- You enjoy building great products and shipping them to production, while ensuring everything works great and supporting the community and customers
What the job involves
- As a Machine learning Ops Engineer, you work mainly to empower our users with a rich feature set, high availability, and stellar performance level to pursue their journey
- We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction
- Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
- Participate in system design consulting, platform management, and capacity planning
- Create sustainable systems and services through automation and uplift
- Balance feature development speed and reliability with well-defined service level objectives
- Build software and systems to manage platform infrastructure and applications
- Improve reliability, quality, and time-to-market of our suite of software solutions
- Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
- Provide primary operational support and engineering for multiple large distributed software applications
- Run the production environment by monitoring availability and taking a holistic view of system health
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
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
(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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