Posted 15 months ago
Distributed Machine Learning Engineer
Sunnyvale, CARemoteFull-time
AI Summary
Distributed ML Engineer focuses on optimizing performance for ML software stacks across training and inference, profiling workloads, building benchmarks, and automating workload analysis.
About this role
About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
The Distributed ML Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.
Key Responsibilities
Academic Qualifications
Skills
AlgorithmsBenchmarksC/C++CUDADebug MethodologiesDeep Learning FrameworksDesign ReviewsDistributed TrainingGPU KernelsGPU UtilizationHPCKernel-developmentLarge-scale Machine Learning ExperienceModel ArchitecturesParallel ComputingPerformance ProfilingProfiling ToolsPythonSoftware OptimizationSystem Level CodingTesting MethodologiesWorkload Automation
