Drive the integration of cutting-edge AI models as a versatile ML Systems Engineer. Combine skills in performance tuning and model architecture to enhance the effectiveness of groundbreaking AI applications.
This position on the innovative SOTA Training Platform team emphasizes quick deployment and optimization of sophisticated AI models. You will work within a collaborative atmosphere, directly impacting the efficiency and scalability of AI applications. A strong system-mindset is essential to excel in this fast-paced environment.
Key Responsibilities:
• Facilitate the end-to-end deployment of ML systems
• Collaborate on compiler optimizations and runtime integration
• Diagnose and resolve model-related performance issues
• Innovate improvements in APIs and workflows
Requirements:
• Relevant Bachelor's, Master’s, or PhD degree
• At least 5 years of hands-on industry experience
• Proficient in Python and deep learning libraries
• Strong troubleshooting ...