Description
PyTorch is seeking talented Postdoctoral Researcher candidates focused on optimization techniques for AI Accelerators. This role emphasizes Accelerator Performance for Deep Learning workloads, covering aspects like performance tooling, benchmarking, kernel authoring, compilation, and enablement. Your contributions will be crucial for Meta’s efficient AI fleet utilization and will enable ML Engineers to quickly explore models without performance constraints. Working in a university-like research environment, you’ll tackle complex and dynamic challenges, with potential research areas including compiler techniques targeting AI Accelerators and optimization techniques for large models.
Company Culture and Environment
Meta fosters a culture of innovation and collaboration, allowing researchers to draw inspiration from real-world challenges. The environment encourages creativity and problem-solving, essential for tackling the complex nature of AI and ML.
Career Growth and Development Opportunities
This position offers researchers the chance to create and implement a research agenda and publish world-class research. Engaging with supervisors and fellow researchers allows for significant professional growth and development within the fast-evolving field of AI.
Detailed Benefits and Perks
• Competitive compensation package
• Health and wellness benefits
• Opportunities for continuous learning and development
• Supportive work environment for research initiatives
Compensation and Benefits
\(117,000/year to \)173,000/year + benefits
Why you should apply for this position today
This position presents an exceptional opportunity to work on impactful research in the AI field. By joining our team, you will engage in pioneering research that directly influences Meta’s technology and its applications in various domains.
Skills
• Strong research background in AI Accelerators, ML Systems, HPC, or related fields
• Proficiency in programming languages such as Python, C/C++, and C#
• Experience in communicating research effectively through publication and presentations
• Ability to solve complex problems and assess various solutions
• Strong collaboration skills for cross-functional teamwork
Responsibilities
• Conduct research to advance the science and technology of Machine Learning, particularly in AI Frameworks like PyTorch.
• Collaborate with supervisors and engineers to develop a targeted research plan addressing real-world challenges.
Qualifications
• Currently in the process of obtaining a PhD or completing a postdoctoral assignment in Computer Science or a similar field (degree must be completed prior to joining Meta)
• Research background in AI Accelerators, ML Systems, HPC, Machine Learning, Compiler Optimization, or a related area
• Experience with published peer-reviewed papers and presentations
• Must obtain work authorization in the country of employment during employment
Education Requirements
• Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field (degree must be completed prior to joining Meta)
Education Requirements Credential Category
• PhD or equivalent practical experience in a related field
Experience Requirements
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, or work experience
• Prior experience in solving complex problems and contributing to team environments
Why work in Denver, CO
Denver offers a vibrant lifestyle with a perfect blend of urban and outdoor experiences. The city is known for its innovation in technology and a strong startup culture, making it an attractive location for professionals in AI and tech fields. With an excellent quality of life, numerous recreational opportunities, and a thriving community, Denver is an ideal place to grow both personally and professionally.
Location: Denver, CO
Posted: Oct. 25, 2024, 6:40 p.m.
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