Elevate machine learning solutions with Cerebras Systems as a Core ML Engineer. Focus on runtime capabilities and efficient kernel development to optimize cutting-edge AI algorithms. As part of the innovative Core ML team, you will bridge research ideas with high-performance execution on Cerebras' unique Wafer-Scale Engine.

Your role requires a robust background in developing high-performance systems software, strong proficiency in C++ and Python, and a solid grasp of parallel programming concepts. Engage in translating research prototypes into efficient implementations that drive advanced AI workloads. Key Responsibilities:

- Design runtime components for Core ML algorithms
- Implement novel high-performance kernels for optimized performance
- Profile and debug across layers of ML frameworks
- Optimize memory, communication, and concurrency
- Develop benchmarks and automated tests for validation Requirements:
- Bachelor's, Master's, or PhD in a related field
- Experience with ML systems, runtimes, or computational kernels
- Solid programming in C++ and Python
- Debugging expertise across multiple software layers
- Familiarity with PyTorch or JAX Transform research into reliable software with your skills at Cerebras Systems.

📌 Core ML Engineer at Cerebras Systems (Toronto)
🏢 Cerebras
📍 Toronto