Cognitive Collective

Helping you find your next career in AI. Learn more about the job board on the Scale blog.

Are you a scaling AI startup? Email maxwell@scalevp.com to be added to our board.
133
companies
1,779
Jobs

Machine Learning Engineer, Fast Optimized Inference - US Remote

Hugging Face

Hugging Face

Software Engineering
United States
Posted on Tuesday, July 18, 2023

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

About the role:

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.

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.

Objectives of this role:

  • Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to [text-generation-inference](https://github.com/huggingface/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

About you:

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. Join our team and contribute to the advancement of AI technologies while working alongside talented professionals in a collaborative and stimulating environment.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.