Machine Learning Engineer, Hugging Face

Optimization Team

Salary not provided
Python
Linux
C++
Junior, Mid and Senior level
Remote in US
Hugging Face

Community-driven platform for ML models

Open for applications

Hugging Face

Community-driven platform for ML models

201-500 employees

B2CB2BEnterpriseDeep TechMachine LearningSaaSCommunity

Open for applications

Salary not provided
Python
Linux
C++
Junior, Mid and Senior level
Remote in US

201-500 employees

B2CB2BEnterpriseDeep TechMachine LearningSaaSCommunity

Company mission

Hugging Face is on a mission to democratize good machine learning, one commit at a time.

Role

Who you are

  • You’ll enjoy working in this team if you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations
  • At the intersection of software engineering and machine learning, you would be in charge of integrating the latest features from our hardware partners in Python/C++, designing rich and easy Python APIs in the continuity of what Hugging Face did with transformers, tokenizers, and the datasets library with a strong focus on performances
  • Linux or embedded devices experience would be a great plus for the job

What the job involves

  • Bridging 🤗 transformers models with state-of-the-art AI hardware
  • Ensuring the above models meet the expected performance
  • Designing easy to use and proficient Developer Experience for our users
  • Deploying these models in the most efficient and scalable way

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

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.

Insights

Top investors

Few candidates hear
back within 2 weeks

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 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

Founders

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.

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.

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!

Diversity & Inclusion at Hugging Face

Emily Witko headshot

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

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