Software Engineer

4 weeks ago


Cupertino, California, United States Apple Full time
About the Role

We are seeking a talented software engineer to join our Machine Learning Systems Evaluation Engineering team at Apple. As a key member of this team, you will be responsible for building and maintaining simulation environments that allow us to evaluate our AI assistant products at scale.

Key Responsibilities
  • Develop tools and frameworks to simulate user interactions and personal context, enabling us to test and refine our AI models and product integration in realistic scenarios.
  • Collaborate with cross-functional teams to design and implement scalable simulation systems that push the boundaries of AI performance and reliability.
  • Work on delivering APIs/Frameworks that have been used with production environments and customers.
  • Contribute to the development of AI assistant products that will delight and inspire millions of people.
Requirements
  • 5+ years of professional experience in software development, with a strong emphasis on designing, implementing, and optimizing large-scale data and compute-intensive frameworks.
  • Strong software engineering skills, including system design, development, testing, debugging, release, and maintenance.
  • Proven expertise in Swift or Obj-C (required). Python (desired) and at least one other object-oriented programming language (e.g., C++, C#, Java).
  • Deep understanding of automated software testing methodologies and lifecycle, including integration testing, component mocking, and dependency injection.
  • Ability to collaborate in a fast-paced, cross-functional environment.
  • Strong organizational skills and experience working with multiple stakeholders.
  • Excellent communication and documentation skills.
Preferred Qualifications
  • Knowledge of statistics-based evaluation approaches, ML training pipelines, and accuracy improvements of ML systems.
  • Experience on delivering APIs/Frameworks that have been used with production environments and customers.
  • Exposure to model development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring.
About Apple

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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