We are seeking a Remote Machine Learning Runtime Optimization Engineer specializing in Mac and Edge devices to join our dynamic team based in Detroit, Michigan. The ideal candidate will
develop, implement, and fine-tune machine learning models and algorithms to ensure optimal performance on various Mac and Edge hardware platforms.
Key responsibilities include:
• Analyzing runtime performance and identifying bottlenecks
• Collaborating with cross-functional teams to optimize ML models for low-latency, resource-constrained environments
• Developing custom solutions for hardware-specific acceleration and efficiency improvements
• Conducting experiments and benchmarking to validate enhancements
• Documenting processes and sharing best practices for runtime optimization
Required skills encompass:
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch)
• Proficiency in performance profiling and debugging tools
• Experience with MacOS and Edge device architectures
• Programming expertise in Python, C++, or similar languages
• Knowledge of hardware acceleration technologies such as GPU, Neural Engine, or Edge AI chips
Benefits include competitive salary, flexible remote work arrangement, comprehensive health plans, professional development opportunities, and a collaborative work environment focused on innovation and growth.