Cloud Machine Learning Engineer - Remote in the US

Hugging FaceRemote — United States

Remote Full-time

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Experience Level

Experience

Qualifications

Successful candidates will have a strong background in machine learning and cloud services, with a passion for technology that shapes the future of AI. Experience in integrating machine learning models with cloud platforms and developing user-friendly APIs is essential.

About the job

Join us at Hugging Face, where we are committed to democratizing exceptional AI technology. We are developing the world's fastest-growing platform for AI innovators, boasting over 11 million users who have contributed more than 2 million models, 700,000 datasets, and 600,000 applications. Our open-source libraries have garnered over 600,000 stars on GitHub, reflecting our strong community support.

At Hugging Face, we strive to be the leading community-driven initiative for training, sharing, and deploying the most sophisticated machine learning models. Achieving workload efficiency is crucial to our mission, and we continually seek innovative methods for faster model training and deployment.

Role Overview

We are in search of a Cloud Machine Learning Engineer to develop impactful machine learning solutions that will be utilized by millions, leveraging cloud technologies. You will play a key role in integrating Hugging Face's open-source libraries, such as Transformers and Diffusers, with prominent cloud platforms and managed SaaS solutions.

For a deeper understanding of the role's practical implications, check out these recent collaborations:
Hugging Face and AWS partner to make AI more accessible
Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders
Introducing SafeCoder
Hugging Face Collaborates with Microsoft to launch Hugging Face Model Catalog on Azure

Key Responsibilities

Integrate Transformers and Diffusers models with various Cloud providers.
Ensure optimal performance standards are met for the integrated models.
Design and develop user-friendly, secure, and robust Developer Experiences and APIs.
Create technical documentation, examples, and notebooks to exhibit new features.
Advocate and share your work and its results with the community.

Who You Are

You will thrive in this role if you have experience deploying machine learning systems in production and creating excellent developer experiences. Ideal candidates will possess:

Proficiency in Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, and Datasets.
Expertise in Deep Learning Frameworks, particularly PyTorch, with optional knowledge of XLA.
Solid understanding of cloud platforms.

About Hugging Face

Hugging Face is at the forefront of AI technology, championing accessibility and innovation. With a vibrant community of users and contributors, we are dedicated to providing tools that empower developers and researchers alike. Our open-source initiatives and partnerships with industry leaders underscore our commitment to advancing the field of artificial intelligence.

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Heartstrings Pet Hospice, In-Home Euthanasia & Aftercare

Part-time|Remote|Jersey Village TX

Join Heartstrings Pet Hospice and experience the fulfillment of providing compassionate end-of-life care to pets and their families. As a Part-Time In-Home Veterinarian serving Jersey Village and the Greater Houston area, you will have the opportunity to reconnect with pet families and deliver the quality care you’ve always envisioned, with ample appointment times and limited administrative responsibilities.At Heartstrings Pet Hospice, we understand the significance of supporting pets during their final moments by offering in-home euthanasia services. Founded by veterinarians, we are dedicated to fostering deep and meaningful relationships with pet families, colleagues, and our local community. Join our nurturing environment where you can flourish both professionally and personally.Why Heartstrings Pet Hospice?Make a significant impact with an average of 3-4 appointments dailyReceive heartfelt gratitude and appreciation from familiesEnjoy the flexibility of a mobile practice, free from clinic constraintsAccess comprehensive training and ongoing mentorshipAchieve a true work-life balance with flexible scheduling options (2-5 days per week, with most appointments from 9 am to 5 pm)Engage in team-building activities and retreats

Mar 1, 2026

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