Cloud Machine Learning Solutions Architect

4 weeks ago

New York, New York, United States Hugging Face Full time

We are seeking a talented Cloud Machine Learning Engineer to join our team at Hugging Face. As a Cloud Machine Learning Engineer, you will be responsible for building and deploying machine learning solutions used by millions of people leveraging cloud technologies.

You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers with major cloud platforms or managed SaaS solutions. This is a unique opportunity to work on cutting-edge technology and make a significant impact on the field of machine learning.

We are looking for someone with deep experience and passion for both Machine Learning (at the framework level) and Cloud Services. If you have expertise in Deep Learning Frameworks, preferably PyTorch, and strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents, we want to hear from you.

As a Cloud Machine Learning Engineer, you will be responsible for bridging and integrating transformers/diffusers models with different Cloud providers, ensuring the above models meet the expected performance, designing and developing easy-to-use, secure, and robust Developer Experiences & APIs for our users, and sharing and advocating your work and the results with the community.

We offer flexible working hours and remote options, health, dental, and vision benefits for employees and their dependents, parental leave, and flexible paid time off. We also provide reimbursement for relevant conferences, training, and education, and outfit your workstation to ensure you succeed.

We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community and work with some of the smartest people in our industry.

We are an equal opportunity employer and 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 and provide all employees with 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.

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