> Markdown version of [/jobs/ext/509386-aiml-senior-machine-learning-infrastructure-engineer-ml-compute-ml-platform-technology](https://www.wearedevelopers.com/jobs/ext/509386-aiml-senior-machine-learning-infrastructure-engineer-ml-compute-ml-platform-technology). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology - **Company:** Apple Inc. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $147,400.0 - $272,100.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Cloud Computing, Code Review, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Data Processing, Pytorch, Deep Learning, Containerization, Kubernetes, Information Technology, Apache Flink, TensorRT, Artificial Intelligence Markup Language (AIML), Programming Languages - **Published:** June 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e5667a78953e4a7c ## About the Role Do you have experience in Solution architecture design?, Advance degrees in Computer Science, engineering, or a related field Proficient in working with and debugging accelerators, like: GPU, TPU, AWS Trainium Proficient in ML training and deployment frameworks, like: JAX, Tensorflow, PyTorch, TensorRT, vLLM Minimum Qualifications Bachelors in Computer Science, engineering, or a related field 4+ years of hands-on experience in building scalable backend systems for training and evaluation of machine learning/deep learning models Proficient in relevant programming languages, like Python or Go Strong expertise in distributed systems, reliability and scalability, containerization, and cloud platforms. Proficient in cloud computing and data processing infrastructure and tools: Kubernetes, Ray, Beam, Flink Ability to clearly and concisely communicate technical and architectural problems, while working with partners to iteratively find solutions ## Description As a Senior Engineer on ML Compute Team, you'll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include: Collaborating with teams across Apple on ML workloads such as training, inferencing, fine tuning etc.; Driving the design and delivery of critical features to facilitate ML compute workloads; Effectively communicating complex features and systems in detail; Understanding industry & company- wide trends to help assess & develop new technologies. Your work will impact hundreds of millions of users and be essential to the success of some of the most visible current and future Apple features., We are the team who build and maintain compute infrastructure to run ML workloads at Apple that include training, inferencing, fine tuning etc.. We are looking for an experienced software engineer who is excited by the opportunity to solve unique, large scale, highly complex technical problems to make ML workloads more stable, more reliable, more efficient and more cost effective. You will collaborate with a wide range of internal teams, listening intently to understand their challenges and true underlying needs. We are looking for candidates who share a passion for tackling complexity and building platforms that can scale through multiple orders of magnitude., * Scope, architect, and deliver innovative high-quality solutions * Effectively communicate complex features and systems in detail * Collaborate with teams across Apple on ML workloads such training, inferencing, fine tuning etc. * Understand industry & company-wide trends to help assess & develop new technologies * Code using Go, Python * Conduct code reviews ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)