Machine Learning Engineer @ Apple
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Job Details
Overview
Apple's Applied Sensing & Health team is seeking a Machine Learning Engineer to innovate and enhance health and fitness features across Apple devices. Join a dynamic group responsible for developing sensor fusion algorithms that track human motion and deliver actionable insights.
What You Will Do
You will scope, design and implement cutting-edge models for Health and Fitness algorithms. In this role, you will:
- Develop machine learning and deep learning models using time series data.
- Optimize implementations for power, memory, and performance.
- Collaborate with scientists, QA, engineers, and project managers.
- Coordinate across multidisciplinary teams to deliver secure and scalable systems.
- Ship features impacting millions of users daily.
Minimum Qualifications
MS degree with 3+ years in quantitative data science (statistics, biostatistics, epidemiology, computer science). Strong background in developing machine learning models with proficiency in Python and ML frameworks such as PyTorch and Tensorflow.
Preferred Qualifications
Ph.D or 5+ years in quantitative data science. Ability to form and test hypotheses, address computational and storage complexities and leverage distributed computing for large datasets. High importance on integrity of tooling and pipelines, and effective communication skills.
Key skills/competency
- Machine Learning
- Deep Learning
- Time Series Analysis
- Python
- PyTorch
- Tensorflow
- Sensor Fusion
- Data Science
- Health Algorithms
- Collaboration
How to Get Hired at Apple
🎯 Tips for Getting Hired
- Research Apple: Understand their product innovation and culture.
- Tailor your resume: Emphasize ML, Python, and sensor fusion experience.
- Showcase projects: Highlight health and time series models.
- Prepare for interviews: Practice technical and collaborative questions.