Machine Learning Engineer, Fast Optimized Inference - US Remote
- Machine learning
- Other places
- 08/28/2024
- -
Welcome to Hugging Face, where we're on a mission to advance Machine Learning and make it more accessible. Our goal is to contribute to technological development for the greater good.
We've built the fastest-growing, open-source library of pre-trained models globally. With over 1 million models and 320K+ stars on GitHub, more than 15,000 companies, including top AI organizations like Google, Elastic, Salesforce, Algolia, Grammarly, and NASA, use Hugging Face technology in production.
As a Machine Learning Engineer, your primary responsibility will be to create superior libraries focused on real-world ML use cases. Building on our open-source foundation, you'll develop specialized code with an industrial usability focus.
We seek someone who can bring fresh ideas, has a unique and informed perspective, and thrives in a progressive, agile, decentralized environment to develop real-world solutions and enhance user experiences at every interaction.
If you are a passionate Machine Learning Engineer with a strong interest in AI and proficiency in Python, Rust, and specialized Cuda kernels frameworks (including transformers, Keras, or PyTorch), we'd love to hear from you. Join our team and contribute to advancing AI technologies while working alongside talented professionals in a collaborative and stimulating environment.
Diversity, Equity, and Inclusivity: We're committed to building a culture that values diversity, equity, and inclusivity. We strive to create a workplace where everyone feels respected and supported, regardless of who you are or where you come from. Hugging Face is an equal opportunity employer; we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Continuous Learning: At Hugging Face, you'll work with some of the smartest people in the industry. We're an organization that values impact and continuous growth. We provide all employees with reimbursement for relevant conferences, training, and education.
Well-being: We offer flexible working hours and remote options, along with health, dental, and vision benefits for employees and their dependents. Additionally, we provide flexible parental leave and paid time off.
Support & Growth: Whether you're working remotely or in our offices in NYC and Paris, we support our employees with the necessary resources to succeed. Remote employees are welcome to visit our offices, and we'll outfit your workstation if needed.
Equity for Employees: All employees receive company equity as part of their compensation. As we strive to become a category-defining platform in machine learning and artificial intelligence, everyone benefits from our success.
Community Support: We believe major scientific advancements come from collaborative efforts across the field. Join us in supporting the ML/AI community.