FinTech Headhunter | HFT Firms and Hedge Funds Your Responsibilities: Constructing scalable and resilient training and inference pipelines for deep learning. Delving into the inner workings of open-source deep learning frameworks to enhance their capabilities. Identifying and resolving performance bottlenecks. Collaborating closely with researchers and fellow engineers. Developing a comprehensive understanding of trading systems. Requirements: Proficiency in the inner workings of deep-learning frameworks such as PyTorch, JAX, TensorFlow, etc. Thorough knowledge of computer architecture. Proficiency in programming with C++ and Python. Preferred Qualifications: Experience with the JAX ecosystem, including XLA, Flax, etc. Proficiency in programming for GPUs or other accelerators like CUDA, Triton, Pallas, etc. Experience in Linux system programming. Familiarity with large-scale distributed training. Contributions to open-source projects in the realm of data science and machine learning. #J-18808-Ljbffr Selby Jennings
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Join to apply for the Enterprise Architect - Cloud role at Leidos .Leidos is looking for an Enterprise Architect to support a large program within a Federal Law Enforcement Agency. As an Enterprise Architect, you will be responsible for leading the design and implementation...
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