Job Description
Meta is seeking Machine Learning Software Engineers to join our PyTorch Open Source teams. The ideal candidate will have experience developing state-of-the art neural network architectures in PyTorch as well as experience with open source software development.
Software Engineer, Machine Learning Specialist- PyTorch Open Source Responsibilities:
• Develop state-of-the-art neural network architectures, modeling primitives, and ML techniques in PyTorch
• Publicize developments in the PyTorch open source community
• Partner with PyTorch engineers to prioritize improvements to the framework.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 6+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD
• 3+ years of specialization experience in one or more of the following machine learning/deep learning domains:
• ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks
• ML theory: large scale ML, machine learning robustness experience
Preferred Qualifications:
• Experience developing state-of-the-art neural network architectures
• Experience with open source software development
• 3+ years of PyTorch experience
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, *** (including pregnancy, childbirth, or related medical conditions), ****** orientation, gender, gender identity, gender expression, transgender status, ****** 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 [email protected]
Software Engineer, Machine Learning Specialist- PyTorch Open Source Responsibilities:
• Develop state-of-the-art neural network architectures, modeling primitives, and ML techniques in PyTorch
• Publicize developments in the PyTorch open source community
• Partner with PyTorch engineers to prioritize improvements to the framework.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 6+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD
• 3+ years of specialization experience in one or more of the following machine learning/deep learning domains:
• ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks
• ML theory: large scale ML, machine learning robustness experience
Preferred Qualifications:
• Experience developing state-of-the-art neural network architectures
• Experience with open source software development
• 3+ years of PyTorch experience
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, *** (including pregnancy, childbirth, or related medical conditions), ****** orientation, gender, gender identity, gender expression, transgender status, ****** 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 [email protected]
💡 Quick Summary
Seeking a career-building opportunity? The Software Engineer| Machine Learning Specialist| PyTorch Open Source position is now open for candidates interested in the Work from home Jobs sector. This role in Redmond offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
