> Markdown version of [/jobs/ext/1994537-ml-software-research-engineer](https://www.wearedevelopers.com/jobs/ext/1994537-ml-software-research-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).

---

# ML Software Research Engineer

- **Company:** Apple Inc.
- **Location:** Pittsburgh, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Computer Programming, Computer Engineering, Python (Programming Language), Machine Learning, Objective-C (Programming Language), Tensorflow, Software Engineering, Software Systems, Pytorch, Large Language Models, Deep Learning, Swift (Programming Language), Information Technology, Machine Learning Operations
- **Published:** August 8, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3347437441&tx=KP9595FFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Having experience with Sensing Modality and building realtime sensing visualizations and model prediction., * BS or MS + 3-5 years of ML SW Engineering or PhD in Computer Science, Computer Engineering or Relevant Fields

 * Strong foundation in Machine Learning (classical ML models, DNN, and multimodal Foundation Models)
 * Experience in building model training/eval pipelines in Python/Pytorch.
 * Experience in prototyping and developing software applications (Preferably in Swift).
 * Strong communication and presentation Skills
 * Ability to work in a collaborative environment, * Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
 * Experience in On-Device ML model deployment and on-device optimization
 * Experience handling multimodal data including text, images, audio, and other sensors
 * Experience in developing production software
 * Proficient in Swift, Objective C, C++, or Go

## Description

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the chance to be part of an ML innovation organization that creates a wide range of impactful Apple features. Within MIND, you'll work on cutting-edge research in fields like Foundation Models and Perception, and develop end products that bring this research's impact to Apple users. This role places a strong emphasis on shipping ML-based features and products. You'll be involved in the entire end-to-end ML development pipeline, which includes crafting creative approaches to datasets, model training, runtime inference integration, and on-device model optimizations. Our ideal team member is fearless in trying new things and is willing to iterate on ideas. We value team members who can quickly prototype and iterate, ultimately leading to high-quality implementations., Our team seeks self-driven machine learning software engineer with strong experience in building ML training pipeline and developing production quality run-time inference infrastructure. In this role you are expected to collaborate closely with ML researchers, SW/FW engineers, and Operation/Data engineers to advance different research and production efforts. Your role is to help deliver the needed pipeline for model development and evaluation, as well as, build the production software to integrated these models and related functionality within Apple's software infrastructure.


## Related Videos

- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Harnessing Apple Intelligence: Live Coding with Swift for iOS](https://www.wearedevelopers.com/videos/1515-harnessing-apple-intelligence-live-coding-with-swift-for-ios)
- [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)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [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)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)