> Markdown version of [/jobs/ext/3186102-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3186102-machine-learning-engineer). 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). --- # Machine Learning Engineer - **Company:** Apple Inc. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $175,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Pytorch, Large Language Models, Deep Learning, Kubernetes, Information Technology, Build Tools, TensorRT, Docker, Golang - **Published:** September 1, 2026 - **Apply:** https://www.themuse.com/jobs/apple/machine-learning-engineer-foundation-model-services-c42cd3 ## About the Role Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow. Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models. Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc. Minimum Qualifications 5 year+ industry experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics). Experience with high throughput services particularly at supercomputing scale. Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc. Proficient in building and maintaining systems written in modern languages (eg: Golang, python) Bachelor's degree or higher in Computer Science or related technical field. ## Description Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time. Work along side Foundation Model Research team to prototype and develop inference for cutting edge model architectures. * Build tools to understand bottlenecks in Inference for different hardwares and use cases. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)