ISE, Incubation - Sr. Machine Learning Engineer
Job Description
Summary
Are you passionate about user experience? Do you enjoy rapidly exploring and iterating new, sometimes astonishing, ideas? The Intelligent System Experience Special Projects team explores and prototypes new, novel, and paradigm shifting ideas in system experience, with emphasis on motivating future technologies in computer vision, machine learning, natural language processing, input, sense, and system intelligence.
We are a new and growing team. This is an exciting time to join and have impact across our entire portfolio. We are especially looking for people who love to collaborate across subject areas and teams, and are motivated and inspired by the potential to help shape the future of system experiences across the entire Apple ecosystem.
We are a new and growing team. This is an exciting time to join and have impact across our entire portfolio. We are especially looking for people who love to collaborate across subject areas and teams, and are motivated and inspired by the potential to help shape the future of system experiences across the entire Apple ecosystem.
Description
Our team is seeking extraordinary machine learning engineers who are passionate about creating intelligent and natural system experiences. This role will encompass all stages of incubation including: ideation, development, and experimentation. Work includes designing high-performance machine learning models to enable new system experiences in concert with designers, software/hardware engineers, and applied R&D teams.
Minimum Qualifications
- Masters or PhD in Machine Learning, Natural Language Processing, Computer Vision, Computer Science or related field with 4+ years experience.
- Experience delivering consumer-facing solutions to new industry problems at scale
- Proficiency in C, C++ or Python
- Excellent communication skills
Preferred Qualifications
- Strong and proven research and software development skills
- Deep understanding of machine learning concepts
- Experience with and knowledge of a wide variety of machine learning libraries/ packages
- Creative, collaborative, and product-focused
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