> Markdown version of [/jobs/ext/129846-aiml-ml-researcher-afm](https://www.wearedevelopers.com/jobs/ext/129846-aiml-ml-researcher-afm). 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 - ML Researcher, AFM - **Company:** Apple Inc. - **Location:** Seattle, WA, United States - **Contract:** Permanent contract - **Skills:** Computer Programming, Python (Programming Language), Natural Language Processing, Tensorflow, Reinforcement Learning, Pytorch, Large Language Models, Deep Learning, Information Technology, BIG-IP Advanced Firewall Manager (AFM), Artificial Intelligence Markup Language (AIML) - **Published:** May 18, 2026 - **Apply:** https://seeker-sp.worksourcewa.com/jobview/GetJob.aspx?JobID=293423111 ## About the Role + Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, COLM, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products + Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow + Ability to work in a collaborative environment. + PhD, or equivalent practical experience, in Computer Science, or related technical field. **Preferred Qualifications** + Code Large language models. + Experience in building end-to-end voice models. + Experience in speech recognitions and generations. + Experience in reinforcement learning, on-policy distillation. + Experience in post-training, mid-training large language models. ## Description We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including end-to-end voice interactions, natural language processing, and combining learning with knowledge. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Inside the Mind of an LLM](https://www.wearedevelopers.com/videos/1617-inside-the-mind-of-an-llm) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [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) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [30 Golden Rules of Deep Learning Performance](https://www.wearedevelopers.com/videos/11-30-golden-rules-of-deep-learning-performance) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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)