META
Software Engineer, Systems ML - PyTorch Performance and Engagement
META, New York, New York, us, 10261
Summary:
The PyTorch Vanguard 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.
Required Skills:
Software Engineer, Systems ML - PyTorch Performance and Engagement Responsibilities:
Lead and contribute to high-impact projects at the intersection of ML, PyTorch development, and community engagement
Develop and maintain CUDA MODE, one of the world's largest ML systems communities
Organize and execute ML competitions across performance, on device, fine tuning and code generation
Contribute to the development of state-of-the-art code-generation models with open-source principles
Improve and expand Torchao, our PyTorch quantization and performance library
Initiate and grow new projects and communities within the PyTorch ecosystem
Minimum Qualifications:
Minimum Qualifications:
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Extensive experience with PyTorch and machine learning systems
Proven programming skills, particularly in Python and CUDA
Preferred Qualifications:
Preferred Qualifications:
Master/PhD in Computer Science, Machine Learning, or a related field
Contributions to prominent open-source ML projects
Experience organizing technical competitions or conferences
Track record of publications in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR)
Public Compensation:
$56.25/hour to $173,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
The PyTorch Vanguard 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.
Required Skills:
Software Engineer, Systems ML - PyTorch Performance and Engagement Responsibilities:
Lead and contribute to high-impact projects at the intersection of ML, PyTorch development, and community engagement
Develop and maintain CUDA MODE, one of the world's largest ML systems communities
Organize and execute ML competitions across performance, on device, fine tuning and code generation
Contribute to the development of state-of-the-art code-generation models with open-source principles
Improve and expand Torchao, our PyTorch quantization and performance library
Initiate and grow new projects and communities within the PyTorch ecosystem
Minimum Qualifications:
Minimum Qualifications:
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Extensive experience with PyTorch and machine learning systems
Proven programming skills, particularly in Python and CUDA
Preferred Qualifications:
Preferred Qualifications:
Master/PhD in Computer Science, Machine Learning, or a related field
Contributions to prominent open-source ML projects
Experience organizing technical competitions or conferences
Track record of publications in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR)
Public Compensation:
$56.25/hour to $173,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.