Remote Machine Learning Runtime Optimization Engineer

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 willdevelop, 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 optimizationRequired 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 chipsBenefits include competitive salary, flexible remote work arrangement, comprehensive health plans, professional development opportunities, and a collaborative work environment focused on innovation and growth.