Machine Learning Developer for AI Safety

Enhance AI safety work as a Machine Learning Developer specializing in distributed systems. Partner with researchers to solve training challenges and optimize large model inferences efficiently. This senior position focuses on addressing complex performance issues and developing essential tools for large-scale ML projects. You will also help document and implement best practices for the successful development of distributed machine learning workflows. Your impact will be critical in driving pioneering AI safety research efforts. Key Responsibilities:

• Accelerate ML research by collaborating with scientists
• Identify and debug performance bottlenecks in code
• Build tools for effective management of distributed resources
• Maintain and document best practices for ML workflows

Requirements:

• Degree in a related computer science discipline
• Minimum of 3 years designing distributed ML frameworks
• Familiarity with cloud platforms and workload managers
• Experience with profiling tools and container technologies
• Proven record in high-quality deep learning projects

Utilize your advanced distributed ML capabilities to support innovative AI safety initiatives and research advancements. #J-18808-Ljbffr