> Markdown version of [/jobs/ext/3767566-aiml-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3767566-aiml-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). --- # AIML - Machine Learning Engineer - **Company:** Apple Inc. - **Location:** Seattle, WA, United States - **Contract:** Permanent contract - **Skills:** Python (Programming Language), Machine Learning, Object Detection, Software Engineering, Pytorch, Deep Learning, Information Technology, Artificial Intelligence Markup Language (AIML), Data Pipelines - **Published:** October 16, 2026 - **Apply:** https://www.juju.com/job/1_apple2-200651341 ## About the Role We value team members who can quickly prototype, iterating all the way to high-quality implementations. **Description** As a member of this team, you will use your background to: - Develop features and models to improve the capabilities of systems that use machine learning - Scale up model training, build data pipelines, and tuning to improve system performance - Review and implement pioneering machine learning algorithms - Build software that improves rate of experimentation **Minimum Qualifications** + Proficient in Python and deep learning frameworks like PyTorch. + Experience with training ML models including deep learning based models. + Able to define metrics, evaluate ML models, and perform error analysis. + Familiar with recent advances in deep learning. + Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field. **Preferred Qualifications** + Experience with modeling vision problems in the areas of object detection, facial recognition, and/or temporal machine learning. + Experience with building efficient ML models through HW/SW co-design. + Experience crafting and defining datasets and metrics for novel tasks. + Experience with shipping ML features and products. + Excellent problem-solving and analytical skills with a thorough approach. + Most importantly: a strong curiosity, willingness to dive deep into unfamiliar problems, and an eagerness to learn and grow in a fast-evolving field.