Applied Machine Learning Engineer - Customer Feedback
Company : Apple
Location : Cupertino, CA, 95014
Posted Date : 28 October 2025
Job Details
Cupertino, California, United States Software and Services
Description
Our team is seeking adept machine learning engineers who are excited by creating machine-learning-driven user experiences. Work includes implenting high-performance machine learning models and infrastructure in concert with software engineers, designers, and teams of internal users.You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, and training or fine-tuning models. You will also be involved in directly integrating ML into internal tools and systems. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes.You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.
Minimum Qualifications
- Industry experience with applied machine learning.
- Industry experience in software engineering, data engineering, or similar.
- Strong fundamentals in problem solving, algorithm design, and model building
- Excellent verbal and written communication and presentation skills
- MS in Computer Science or related experience
Preferred Qualifications
- Working knowledge of applied Natural Language Processing.
- Strong hands-on experience in building large scale ML based solutions or in building and scaling distributed systems.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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