> Markdown version of [/jobs/ext/262968-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/262968-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).

---

# Machine Learning Engineer

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Salary:** $147,400.0 - $272,100.0
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Cloud Computing, Python (Programming Language), Machine Learning, Tensorflow, Sensor Fusion, Signal Processing, Data Strategy, Information Technology, Data Analytics, Machine Learning Operations, Data Generation
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5ec3b5b1e3e597d0

## About the Role

Do you have experience in Validation design?, Experience developing algorithms for physiological sensing using multi-modal data

Familiarity with on-device ML frameworks or resource-constrained optimization

Experience working with incomplete, noisy, or limited datasets

Background in experimental design and statistical validation

Experience with distributed or cloud-based ML workflows

Experience accelerating development through simulation, synthetic data, or creative data augmentation approaches

Self-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions

Minimum Qualifications

Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience.

Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problems

Experience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluation

Proficiency in Python for algorithm development and optimization

Demonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental results

Experience owning algorithm development from early exploration through validation and integration

## Description

This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.","responsibilities":"Develop and validate ML and GenAI-driven algorithms for health sensing applications from concept through productization

Prototype and compare multiple approaches using real and synthetic data to accelerate algorithm development

Design experiments and evaluation methodologies to quantify performance and guide algorithm improvements

Optimize algorithms for robustness, efficiency, and on-device deployment constraints

Work cross-functionally with user studies, hardware, software, and product teams to bring algorithms into product

Analyze failure modes, quantify tradeoffs, and drive data-driven algorithm improvements


## Related Videos

- [Edge AI on iOS: Beyond the Cloud, Designing the Next Generation of Intelligent On-Device Apps](https://www.wearedevelopers.com/videos/100225-edge-ai-on-ios-beyond-the-cloud-designing-the-next-generation-of-intelligent-on-device-apps)
- [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun)
- [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning)
- [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [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)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)