Remote Machine Learning Runtime Optimization Engineer is an exciting remote opportunity at val's services, based Remote. This role is ideal for AI professionals looking to work from home while contributing to cutting-edge artificial intelligence projects. Read the full job description below and apply today.
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.
