Description
PyTorch is seeking strong Postdoctoral Researcher candidates to focus on optimization techniques for AI Accelerators. Our team is dedicated to enhancing Accelerator Performance for Deep Learning workloads across multiple domains, including performance tooling, benchmarking, kernel authoring, compilation, and enablement. Your role will be crucial in helping Meta optimize its AI fleet and aid ML Engineers in rapid model exploration without performance barriers. This position provides an environment akin to academic research, addressing the challenges of scale, complexity, and the evolving landscape of AI technology. Key research areas include the application of compiler techniques for AI Accelerators and optimization for training and inference of large models.
Company Culture and Environment
At Meta, we foster a collaborative and innovative environment where researchers draw inspiration from real-world challenges. The culture emphasizes team engagement, open communication, and a commitment to impactful research that can change the AI landscape.
Career Growth and Development Opportunities
This role provides opportunities to engage in cutting-edge research and publish work in renowned journals and conferences, furthering your career in the AI and machine learning fields. You will collaborate with leading experts and contribute to significant advancements in technology.
Detailed Benefits and Perks
• Competitive compensation package
• Access to advanced technological resources and tools
• Opportunities for professional growth through research and networking
• Supportive environment for innovation and collaboration
Compensation and Benefits
Compensation ranges from \(117,000/year to \)173,000/year + benefits.
Why you should apply for this position today
This position offers an exciting opportunity to work on groundbreaking research that influences the future of AI technology. By joining our team, you will contribute to meaningful advancements that have a real-world impact while working alongside talented professionals in a supportive environment.
Skills
• Strong background in AI Accelerators, ML Systems, HPC, Machine Learning, Compiler, Optimization, or similar fields.
• Proficiency in programming languages like Python, C/C++, C#, or equivalent.
• Experience in publishing and presenting research findings.
• Problem-solving skills and ability to communicate effectively across teams.
Responsibilities
• Conduct research to advance Machine Learning technologies relevant to AI Frameworks like PyTorch.
• Collaborate with supervisors and other researchers to develop impactful research plans.
• Engage with teams to tackle real-world problems through innovative approaches.
Qualifications
• Currently obtaining or in the process of completing a PhD in Computer Science or a related field, with completion required prior to joining Meta.
• Research experience in relevant fields such as AI Accelerators or Compiler Optimization.
• Proven ability to communicate research outcomes through publications and presentations.
Education Requirements
• PhD in Computer Science or related technical field.
Education Requirements Credential Category
• Doctorate (PhD)
Experience Requirements
• Experience with AI Accelerators, ML Systems, or Compiler Optimization.
• Must have published peer-reviewed papers and have relevant coding experience.
• Ongoing work authorization is required upon hire and throughout employment.
Why work in Harrisburg, PA
Harrisburg offers a unique blend of historical charm and modern amenities, making it an appealing place to live and work. The city is known for its vibrant community, scenic parks, and rich cultural heritage. With a growing tech scene and access to professional development opportunities, Harrisburg provides an excellent backdrop for both personal and career growth.
Location: Harrisburg, PA
Posted: Oct. 25, 2024, 6:40 p.m.
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