> Markdown version of [/jobs/ext/3239040-machine-learning-systems-engineer](https://www.wearedevelopers.com/jobs/ext/3239040-machine-learning-systems-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 Systems Engineer

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Salary:** $150,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), C++ (Programming Language), Nvidia CUDA, Python (Programming Language), Machine Learning, Pytorch, Large Language Models, Swift (Programming Language), Siri, Information Technology, HuggingFace, Machine Learning Operations, Decoding, Programming Languages
- **Published:** September 1, 2026
- **Apply:** https://www.themuse.com/jobs/apple/machine-learning-systems-engineer-siri-agent-modeling-43c8ec

## About the Role

Collaborative with experience working in large inter-teams projects

Expertise in ML and LLM optimization such as quantization, KV Cache, Speculative Decoding

Familiarity with ML training methodologies such as FSDP, DDP, and other parallelism

Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM.

Experience in optimizing LLM models and deploying LLM models

Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)

Minimum Qualifications

Experience in model lifecycle of training, evaluation, and deployment of models

Strong understanding of Machine Learning (ML) model architectures (e.g. Transformers, CNN) and ML training loop

Strong proficiency in Python and ML framework such as PyTorch

Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent industry/project experience

Experience with agentic AI-assisted coding

## Description

As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and inference. You will be working across the ML stack at Apple, finding opportunities to make models performant, train quicker, and run faster on Apple's custom Apple Silicon. You will be joining a team that spans data, modeling, evaluation, deployment and working with engineers across ML infrastructure, inference, and framework teams. You will write production-level code to train and deploy models that will impact Apple's customers and enrich their lives. You are an ideal candidate if you: Are not afraid of CUDA OOM or NCCL errors


## 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)
- [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter)
- [Lessons from Steve Jobs - Learnings from the Past for the Future](https://www.wearedevelopers.com/videos/1021-lessons-from-steve-jobs-learnings-from-the-past-for-the-future)
- [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)
- [Adding knowledge to open-source LLMs](https://www.wearedevelopers.com/videos/1522-adding-knowledge-to-open-source-llms)
- [Challenges and Solutions for Efficient, Large-Scale Video Analysis](https://www.wearedevelopers.com/videos/2022-challenges-and-solutions-for-efficient-large-scale-video-analysis)

## 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)
- [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)
- [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)