Machine Learning Algorithm Engineer
4 weeks ago
About the Role
We are seeking a highly skilled Machine Learning Algorithm Engineer to join our team at Apple. As a key member of our Sensing, Data, and Interaction Software team, you will be responsible for developing and implementing cutting-edge machine learning algorithms and technologies to enable the best Human Interface Devices (HID) and Health Sensing software products in the world.
Key Responsibilities
- Develop and optimize sensing algorithms and technologies
- Design and implement machine learning models for signal processing and feature extraction
- Collaborate with cross-functional teams to integrate machine learning solutions into our products
- Stay up-to-date with the latest advancements in machine learning and AI research
Requirements
- BS and a minimum of 3 years relevant industry experience
- Strong computer science fundamentals, including software programming skills in C, C++, and Python
- Experience in algorithm optimization techniques for on-device implementation
- Signal processing, machine learning, linear algebra, and statistics expertise
Preferred Qualifications
- 7+ years of experience in developing customer-facing sensing technologies
- Experience in machine learning, neural networks frameworks, including model training, deployment for customer usage
- Data modeling, augmentation, management, and handling skills
About Apple
At Apple, we are committed to innovation and excellence in everything we do. We believe that our products and services should be designed to make a positive impact on people's lives. As a member of our team, you will have the opportunity to work with talented and passionate individuals who share our vision and values.
What We Offer
- Competitive salary and benefits package
- Opportunity to work on cutting-edge projects and technologies
- Collaborative and dynamic work environment
- Professional development and growth opportunities
How to Apply
If you are a motivated and talented Machine Learning Algorithm Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to our online portal. We look forward to hearing from you
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