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# Machine Learning Engineer

- **Company:** Apple Inc.
- **Location:** Cupertino, United States
- **Contract:** Permanent contract
- **Skills:** Apple Watch, Software Debugging, Human-Computer Interaction, Python (Programming Language), Machine Learning, Tensorflow, Signal Processing, Data Processing, Pytorch, Deep Learning, Build Management, Information Technology
- **Published:** September 17, 2026
- **Apply:** https://www.dice.com/job-detail/cd8788dd-c91f-4557-8af4-04d4aa39bf23

## About the Role

M.S. or Ph.D. in Machine Learning, Computer Science, or a related field; additional background in Human-Computer Interaction (HCI) is a plus

Strong Python skills with experience working with deep learning frameworks such as PyTorch or TensorFlow

Hands-on experience developing predictive models using time-series and multimodal sensor data

Proficient in data collection, model training and optimization, defining metrics, and performing failure analysis

Great communication and collaboration skills

Preferred Qualifications

Proven ability to design and build scalable modeling pipelines for data processing, training, and evaluation

Experience with signal processing techniques for ML applications

## Description

The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features.

We are looking for an ML engineer who is passionate about developing innovative product features that push the boundaries of sensing, machine learning, and human-computer interaction. You will work closely with designers, machine learning engineers, and software experts to turn vague, ambitious ideas into the next generation of sensing experiences for millions of Apple Watch users.

Your responsibilities will include:

 * Train, evaluate, and debug deep learning models for complex tasks

 * Guide new features from early prototypes to shipping products, communicating with peers to build requirements and track progress


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