Machine Learning Engineer: Revolutionizing AI at Apple
6 days ago
About the Role
Cupertino, California, United States is home to a cutting-edge team of engineers and researchers responsible for building foundation models at Apple. We are seeking talented Machine Learning Engineers to join our team and contribute to the development of infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities.
Key Responsibilities
- Design and implement large-scale distributed systems for training and deployment of foundation models
- Collaborate with cross-functional teams to develop and integrate machine learning models into Apple products
- Contribute to the development of novel applications of deep learning in Apple products
Requirements
- Proven track record in training or deployment of large models or building large-scale distributed systems
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorFlow
- Ability to work in a collaborative environment
Preferred Qualifications
- Experience with web-scale information retrieval
- Familiarity with human-like conversation agents
- Knowledge of multi-modal perception for existing products and future hardware platforms
- On-device intelligence and learning with strong privacy protections
Compensation and Benefits
The base pay range for this role is between $143,100 and $264,200. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. You'll also receive benefits including comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses.
Diversity and Inclusion
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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