Machine Learning Engineer

Our client is a leading organization dedicated to cutting-edge advancements in machine learning and large-scale computations. The company fosters a collaborative and innovative culture, committed to building reliable and scalable platforms. This role involves developing a compute platform and machine learning libraries tailored for extensive workloads, focusing on maintaining system stability and efficiency across CPU and GPU clusters. The position is crucial for ensuring seamless infrastructure performance and supporting the company’s broader research and development initiatives.

Role Overview:
The Machine Learning Engineer will contribute to building and optimizing the company’s compute platform, ensuring high performance, scalability, and observability for large-scale machine learning and simulation tasks.

Key Skills & Experience:
• Proven experience in managing production machine learning infrastructure at large scale
• Expertise in designing, deploying, profiling, and troubleshooting in Linux-based environments
• Proficiency in containerization, parallel computing, and distributed training algorithms
• Experience with storage solutions for large, data-intensive workloads

Key Responsibilities:
• Develop and maintain the compute platform and machine learning libraries for extensive workloads
• Focus on platform stability and efficiency across CPU and GPU clusters
• Use monitoring and profiling tools to identify bottlenecks and optimize system performance
• Enhance infrastructure and software scalability and observability

Requirements:
• Right to work and be based on-site in the designated location
• Experience operating in Linux-based computing environments
• Strong background in containerization, parallel computing, and distributed systems
• Knowledge of storage solutions for large-volume, cluster-based data workloads
• Willingness to work on-site

If you meet these criteria and are interested in contributing to innovative machine learning infrastructure, please apply now.