Job Summary
Develop post-training techniques that turn foundation models into capable, dependable agents optimized to run on-device. Lead research from initial concept through experimentation, with the goal of bringing effective research outcomes into Apple products.
Responsibilities
- Formulate research hypotheses and define experiments for improving foundation models through post-training.
- Build and maintain training pipelines to develop efficient, reliable agents for on-device execution.
- Lead research projects end to end, from planning and implementation through evaluation.
- Translate research findings into practical capabilities for Apple products.
Qualifications
- MS or PhD in Computer Science, Artificial Intelligence, or a related discipline.
- Strong research record, including publications in top-tier venues.
- Proficiency in Python programming.
- Hands-on experience with deep learning frameworks such as PyTorch.
Apple provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
