> Markdown version of [/jobs/ext/2093340-machine-learning-engineer-in-security](https://www.wearedevelopers.com/jobs/ext/2093340-machine-learning-engineer-in-security). 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 in security

- **Company:** Apple
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Large Language Models, Deep Learning, Data Strategy, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** August 16, 2026
- **Apply:** https://www.jobleads.com/es/job/e328a7d1bd9fdd1d26240adcbf2be1631

## About the Role

* Proven experience shipping machine learning models to production and owning their end-to-end lifecycle from development through deployment and maintenance
 * Strong familiarity with research fundamentals, machine learning principles, and development methodologies for LLMs, foundation models, and diffusion models
 * Proficient programming skills in Python and deep learning toolkits such as JAX, PyTorch, or TensorFlow
 * Ability to work with sensitive and offensive content when building security and abuse detection systems
 * Nice to have: BS, MS, or PhD in Computer Science, Machine Learning, or a related field or equivalent qualification, experience fine-tuning or aligning large language models for security or safety applications, experience building large-scale data processing pipelines and ML infrastructure, experience driving technical projects and collaborating with large, diverse, cross-functional teams

## Description

* Design, build, and deploy production-grade ML models to detect and mitigate abuse across text, image, and audio
 * Own the full ML lifecycle from prototyping and data analysis through deployment, monitoring, and continuous production improvement
 * Drive data strategy by analyzing distribution gaps, contributing to synthetic data pipelines, and creating automated annotation systems
 * Architect end-to-end systems for monitoring platform activity, detecting misuse, and triggering real-time automated enforcement actions
 * Collaborate with engineering, research, and product partners to define project requirements, establish technical direction, and deliver robust security solutions


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [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)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Machine Learning: Promising, but Perilous](https://www.wearedevelopers.com/videos/627-machine-learning-promising-but-perilous)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk)

## 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 – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction)