Published: Sat, 26 Oct 2024 04:50:26 GMT
Position: Cloud Machine Learning Engineer
Company Overview:
Hugging Face is a global leader in advancing and democratizing machine learning. Our mission is to make this technology more accessible and contribute to its development for the better. We have built the fastest-growing open-source library of pre-trained models in the world, with over 1 million models and 320,000+ stars on GitHub. Our technology is used by over 15,000 companies in production, including top AI organizations like Google, Elastic, Salesforce, Grammarly, and NASA. Hugging Face has become the most popular community-driven project for training, sharing, and deploying advanced machine learning models.
Position Overview:
We are seeking a skilled Cloud Machine Learning Engineer to join our team and help build machine learning solutions used by millions. In this role, you will leverage cloud technologies to integrate Hugging Face’s open-source libraries, such as Transformers and Diffusers, with major cloud platforms or managed SaaS solutions. This is a key role in our mission to democratize state-of-the-art technology and we are always looking for ways to push the boundaries for faster and more efficient model training and deployment.
Responsibilities:
– Integrate Hugging Face’s 🤗 transformers/diffusers models with various cloud providers
– Ensure top performance of integrated models
– Design and develop user-friendly, secure, and robust APIs for our users
– Write technical documentation, examples, and notebooks to showcase new features
– Share and advocate for your work and results with the community
Qualifications:
– Deep experience and passion for both Machine Learning (at the framework level) and Cloud Services
– Expertise in deep learning frameworks, particularly PyTorch
– Strong knowledge of cloud platforms like AWS, Azure, and GCP, and their respective services
– Experience with MLOps pipelines and containerizing models with Docker
– Familiarity with Typescript, Rust, MongoDB, and Kubernetes (bonus)
– Ability to write clear documentation and work across the full product development lifecycle
More About Hugging Face:
At Hugging Face, we value diversity, equity, and inclusivity. We strive to create a workplace where all employees feel respected and supported, regardless of their background. As an equal opportunity employer, 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 are committed to the development of our employees and provide opportunities for growth and learning. We offer reimbursement for conferences, training, and education, as well as flexible working hours and remote options. We also provide health, dental, and vision benefits for employees and their dependents, as well as parental leave and flexible paid time off.
As a distributed company with offices in NYC and Paris, all remote employees have the opportunity to visit our offices if desired. And as we believe in the power of collaboration, we offer company equity to all employees as part of their compensation package.
Join our community of ML/AI professionals and help us advance and democratize machine learning for everyone. Apply link
