ML Infrastructure Software Engineer
Description For ML Infrastructure Software Engineer
Join Apple's Silicon Technologies group as an ML Infrastructure Software Engineer, where you'll help build AI-driven solutions that solve pressing business challenges. In this highly visible role, you'll be responsible for deploying and integrating AI models supporting various domains within Apple's infrastructure. You'll work on optimizing and scaling machine learning models, manage deployment pipelines, and contribute to critical hardware decisions. This role combines technical expertise in ML infrastructure with the opportunity to impact Apple's cutting-edge silicon design workflows. You'll collaborate with internal teams to evaluate model needs, implement monitoring systems, and ensure the infrastructure remains state-of-the-art. The position offers the chance to work with industry-standard AI models while supporting Apple's commitment to creating elegant solutions for complex challenges. Your work will directly influence the efficiency and capability of Apple's devices, making this an excellent opportunity for those passionate about ML infrastructure and hardware optimization.
Responsibilities For ML Infrastructure Software Engineer
- Deploying, optimizing, and integrating industry-standard AI models within internal infrastructure
- Collaborating with internal teams to evaluate model needs and define selection standards
- Managing pipelines for fine-tuning and model conversion
- Contributing to compute planning and hardware decisions
- Implementing monitoring to ensure scalable and efficient model deployment
Requirements For ML Infrastructure Software Engineer
- Experience in Python
- Experience with model deployment frameworks (VLLM, Triton, or TensorRT-LLM)
- Experience scaling or optimizing machine learning models in production environments
- BS and 3+ years of relevant industry experience
