Data Technical Architect, Hugging Face
MongoDB Sharding
+ Equity
Community-driven platform for ML models
Job no longer available
Community-driven platform for ML models
501-1000 employees
Job no longer available
+ Equity
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
- This is not an "ivory tower" architect role. We are looking for a hands-on leader who thrives on seeing their designs through to production
- 4+ years of experience in data engineering or architecture, with a significant, up-to-date focus on MongoDB
- Proven, hands-on experience designing and implementing MongoDB sharding in a production environment. You should be able to discuss the trade-offs of different shard keys you've used in the past
- Strong proficiency in at least one modern programming language (Typescript/Node.js preferred), with demonstrated experience making changes to an application codebase
- A strong collaborative mindset with a history of working effectively in cross-functional teams to achieve shared goals
- Deep, practical understanding of MongoDB internals, including the aggregation framework, storage engines, indexing, and replication
- Excellent async/written communication skills with the ability to facilitate technical discussions and build consensus
Desirable
- Experience with Infrastructure as Code (IaC) tools like Terraform or Pulumi
- Experience with running MongoDB in Atlas
- Familiarity with other database technologies (e.g., PostgreSQL, Redis, Elasticsearch)
- Experience with large-scale data migration projects
What the job involves
- You will serve in a key technical role for our data layer, working alongside the rest of our engineering team to design, build, and scale our core database system
- Shape the Architecture: Collaborate closely with engineering and product teams to design and evolve the end-to-end architecture for our MongoDB environment, ensuring scalability, reliability, and performance
- Get Your Hands Dirty: Dive deep into our application codebase when needed to make specific, planned changes to the data access layer, queries, and services to support the architecture evolution
- Champion Best Practices: Develop and promote best practices for data modeling, schema design, and query performance
- Troubleshoot and Optimize: Serve as a subject matter expert for complex database performance issues, partnering with teams to diagnose, resolve, and learn from production incidents
- Enable the Team: Develop scripts, documentation, and automation that empower developers to work more effectively and safely with the database
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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