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- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Current knowledge of deep learning concepts (e.g. transformer models, data parallelism, model parallelism, etc.)
- Experience using Unix/Linux
- Hands-on experience working with LLMs, Graph-ML and/or multi-modal models
- Patents or publications at top-tier peer-reviewed conferences or journals
- Experience with hardware accelerators (e.g. GPGPU, FPGA, TPU)
- Experience with AWS services, and large-scale data processing frameworks like Spark etc.
- Coding proficiency in at least one modern deep learning framework (PyTorch, Tensorflow)
These jobs might be a good fit