Research Scientist Intern - AI & Compute Foundation
MetaAdded 3h ago
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Quick summaryby newgrad.ai
What you'll do
- Optimize AI production models to improve system performance and efficiency.
- Develop kernel libraries to accelerate deep learning and machine learning workloads.
- Co-design hardware and software solutions for datacenter-scale AI systems.
What they're looking for
- Candidates available for 12 to 24-week internship durations.
- Interest in AI accelerator hardware and performance optimization.
- Ability to analyze and resolve system performance bottlenecks.
The MTIA (Meta Training & Inference Accelerator) Software team is part of the AI & Compute Foundation org. The team’s mission is to explore, develop and help productize high-performance software and hardware technologies for AI at datacenter scale. The team co-optimizes both SW (e.g., algorithms and numerics) and HW (e.g., platform and network) to come up with balanced system design. To develop new systems, requires understanding performance bottlenecks on existing systems. As a result, the team invests significantly into optimizing AI production models on existing systems. This has resulted in TCO wins for all key AI services.
The team has been developing AI frameworks to accelerate Meta’s DL/ML workloads on the specialized MTIA AI accelerator hardware in a highly performant and flexible way. As part of the AI acceleration software stack, we develop kernel libraries exploiting various hardware architectural features, achieving high performance for our inference and training workloads.
Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.
From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
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