Senior Machine Learning Engineer - SIML, ISE

We're seeking strong senior machine learning engineers to help build next-generation tools for large-scale deep learning. You'll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple's centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities. In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions. We are especially looking for PyTorch-focused ML experts driving system-level efficiency from on-device to large-scale models. If you have deep experience with PyTorch internals and high-performance ML infrastructure, we'd love to hear from you. We encourage releasing contributions as open source. PhD or Master's degree in Computer Science, or equivalent industry experience, with 3+ years of experience in the AI/ML field. Strong Python programming skills. Solid understanding of software–hardware co-design principles and algorithms. Solid understanding of the PyTorch software stack and experience maintaining state-of-the-art ML frameworks. Solid understanding of LLM architectures and their core building blocks. Experience working on AI/ML-optimized runtime stacks. Familiarity with parallelization algorithms for large model training. Familiarity with recent developments in foundation model architectures. Experience with parallel training libraries such as PyTorch Distributed (torch.distributed), DeepSpeed, or FairScale. Experience building ML models for on-device inference. Publication record at ML conferences such as MLSys, NeurIPS, etc.

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