Hugging FaceHF

Data Technical Architect, MongoDB Expert - US Remote

We've come a long way since we first open sourced PyTorch BERT in 2018 and are just getting started!

Hugging Face

Employee count: 51-200

United States only

We're looking for a hands-on Data Technical Architect to lead the design, build, and scale of our core database system using MongoDB. The ideal candidate will have experience in data engineering or architecture, strong proficiency in programming languages, and excellent communication skills.

Requirements

  • 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
  • Strong proficiency in at least one modern programming language (Typescript/Node.js preferred)
  • A strong collaborative mindset with a history of working effectively in cross-functional teams
  • Deep, practical understanding of MongoDB internals, including the aggregation framework, storage engines, indexing, and replication

Benefits

  • Flexible working hours and remote options
  • Health, dental, and vision benefits for employees and their dependents
  • Parental leave and flexible paid time off
  • Reimbursement for relevant conferences, training, and education
  • Company equity as part of their compensation package

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

United States +/- 0 hours

About Hugging Face

Learn more about Hugging Face and their company culture.

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We've come a long way since we first open sourced PyTorch BERT in 2018 and are just getting started! 🙌

Machine learning is becoming the default way to build technology. When you think about your average day, machine learning is everywhere: from your Zoom background, to searching on Google, to ordering an Uber or writing an email with auto-complete --it's all machine learning.

Hugging Face is now the fastest growing community & most used platform for machine learning! With 100,000 pre-trained models & 10,000 datasets hosted on the platform for NLP, computer vision, speech, time-series, biology, reinforcement learning, chemistry and more, the Hugging Face Hub has become the Home of Machine Learning to create, collaborate, and deploy state-of-the-art models.

Over 10,000 companies are now using Hugging Face to build technology with machine learning. Their Machine Learning scientists, Data scientists and Machine Learning engineers have saved countless hours while accelerating their machine learning roadmaps with the help of our products and services.

We want to have a positive impact on the AI field. We think the direction of more responsible AI is through openly sharing models, datasets, training procedures, evaluation metrics and working together to solve issues. We believe open source and open science bring trust, robustness, reproducibility, and continuous innovation. With this in mind, we are leading BigScience, a collaborative workshop around the study and creation of very large language models gathering more than 1,000 researchers of all backgrounds and disciplines. We are now training the world's largest open source multilingual language model 🌸

Employee benefits

Learn about the employee benefits and perks provided at Hugging Face.

View benefits

Home office budget

If needed, we’ll outfit your workstation to ensure you succeed.

Generous vacation

We have an unlimited PTO policy to help encourage work life balance.

Healthcare benefits

Medical, dental, and vision insurance for US employees and dependents.

Paid parental leave

20 weeks of paid family leave for all parents to support you and your family.

View Hugging Face's employee benefits
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Hugging Face

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Hugging Face hiring Data Technical Architect, MongoDB Expert - US Remote • Remote (Work from Home) | Himalayas