Machine Learning Optimization Evangelist, Hugging Face
+ Equity
Community-driven platform for ML models
Open for applications
Community-driven platform for ML models
201-500 employees
Open for applications
+ Equity
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
- You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the hardware ability
- You love learning new challenging engineering concepts and technologies, and discussing them with engineers
- You appreciate a good Developer Experience, and take pride in your code being easy to understand
- You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences
- You love engaging with the ML community in a positive and helpful way
- Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected
- Having experience in Open Source development will be helpful.
What the job involves
- As a Machine Learning Optimization Evangelist, your goal will be to increase the impact of the Hugging Face ML Optimization team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads
- The Hugging Face ML Optimization team is working through strategic collaborations with the most used AI Accelerators (incl
- NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), Clouds (AWS, GCP, Azure, Cloudflare) and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms
- These partnerships are core to Hugging Face product strategy as an open platform (no lock-in of customers), and monetization strategy to drive usage and revenue for our partners through commercial collaborations and product extensions
- This is not a marketing role, or a business development role
- Your impact will be driving visibility and usage of integrations with strategic partners, through activities including:
- Publishing technical blog posts
- Contributing documentation and code examples
- Speaking to business and technical audiences at partner conferences,
- Participating in, or producing webinars
- Building and evangelizing demos
- Leading GTM conversations with strategic partners
- You will be at the forefront of Generative AI (and how to build practical stuff with open source)
- You will work hand in hand with the most important companies in AI
- You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation
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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