Senior Machine learning Engineer

April 5

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Shakudo

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The ultimate data platform that integrates best of breed tools and makes your team self-sufficient

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💰 Series A on 2023-07

Description

• Designing and implementing machine learning and AI applications tailored for large-scale data processing and analytics on Shakudo's cloud infrastructure, emphasizing high-performance networking and computing. • Conducting in-depth profiling and benchmarking of machine learning models to pinpoint optimization opportunities, particularly in networking and computational efficiency. • Keeping abreast of the latest trends in machine learning, cloud computing technologies, and high-performance networking to continually enhance Shakudo's offerings. • Optimizing networking and computing configurations to elevate the performance of machine learning models, focusing on throughput and latency improvements. • Analyzing and interpreting vast datasets to drive enhancements in model accuracy and system performance, with a particular focus on networking efficiency. • Working alongside other product teams to integrate and refine high-speed networking solutions tailored for advanced machine learning applications.

Requirements

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with over 8 years of relevant experience. • Proficiency in machine learning, deep learning, and high-performance computing, with a proven track record in optimizing large-scale systems. • Skilled in programming and optimizing for high-performance computing environments, with a strong grasp of parallel computing and distributed systems. • Exceptional analytical and problem-solving abilities, focused on network and computational performance tuning. • Outstanding communication skills, with the capacity to collaborate effectively across teams and with clients.

Benefits

• Work on cutting-edge technologies in machine learning and high-performance computing. • Contribute to a platform that reshapes how organizations leverage data and AI. • Be part of a dynamic team that values innovation, efficiency, and diversity.