Machine Learning Engineer, Hugging Face

Fast Optimized Inference

Salary not provided
Python
Rust
CUDA
PyTorch
Keras
Junior, Mid and Senior level
Remote from US
Hugging Face

Community-driven platform for ML models

Job no longer available

Hugging Face

Community-driven platform for ML models

201-500 employees

B2CB2BEnterpriseDeep TechMachine LearningSaaSCommunity

Job no longer available

Salary not provided
Python
Rust
CUDA
PyTorch
Keras
Junior, Mid and Senior level
Remote from 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

  • 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
  • If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you

What the job involves

  • As a Machine learning Engineer, you work mainly on creating great libraries highly focused on real world ML use cases
  • We're building on top of our open-source to create more specialized code with a focus on industrial level of usage
  • Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to [text-generation-inference]()
  • Utilize existing library frameworks to create scalable software solutions for industrial purposes
  • Enhance the reliability, quality, and time-to-market of our software suite. Measure and optimize system performance to stay ahead of customer needs and drive innovation
  • Manage the production environment by monitoring availability and ensuring overall system health. We run our own tools

Share this job

View 3 more jobs at Hugging Face

Insights

Top investors

36% employee growth in 12 months

Company

Company benefits

  • Flexible Work Environment
  • Health Insurance
  • Unlimited PTO
  • Equity
  • Growth, Training, & Conferences
  • Generous Parental Leave

Funding (last 2 of 7 rounds)

Aug 2023

$235m

SERIES D

May 2022

$100m

SERIES C

Total funding: $395.8m

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 headshot

Freddie

Company Specialist at Welcome to the Jungle