The PyTorch Domains team is at the forefront of machine learning innovation, community engagement and open-source development. We are dedicated to pushing the boundaries of ML technologies while fostering a vibrant, global community of developers and researchers. Our team combines cutting-edge ML engineering with community-driven initiatives to advance the field of artificial intelligence. In particular, we are looking for someone to support the TorchTune library, PyTorch’s library for fine-tuning models.
Software Engineer - PyTorch Domains Responsibilities
- Lead and contribute to high-impact projects at the intersection of ML, PyTorch development and community engagement.
- Develop and maintain TorchTune, the industry standard for fine-tuning models in PyTorch.
- Initiate and grow new projects and communities within the PyTorch ecosystem.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Research experience in machine learning.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Experience with architectural patterns of large scale software applications.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
- Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- A PhD in AI, computer science, data science, or related technical fields.
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) or DSP conferences.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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$70.67/hour to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action
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Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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