Machine Learning Engineer, Multimodal Generation - US Remote
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 over 130K+ models and 110K+ stars on GitHub, over 10 thousand 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 specializing in NLP, multimodal models, and generation, you will work mainly with existing open-source libraries, such as Transformers and others to boost the support for all the new advances in multimodal model inference and generation. You will work alongside experts to enable new, novel use-cases and support the community to build the future of open-source Machine Learning.
You'll get to foster one of the most active machine-learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners, and data scientists on a daily basis through GitHub, our forums, or slack.
To succeed in this role, you need to have experience building and training large models with an advanced knowledge of transformer ML architectures related to causal language modeling (a basic knowledge of transformer ML architectures for other main modalities such audio and/or images will be a great plus). You also have a solid experience developing auto-regressive decoding methods and designing high-quality APIs/documentation. Main stack : Python, PyTorch, TensorFlow, JAX.
If you love open source, are passionate about making complex technology more accessible and want to contribute to one of the fastest-growing ML libraries, then we can't wait to see your application!
If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.
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 grow continuously. 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.
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