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Apple AIML - Senior Machine Learning Engineer Siri Information Intelligence 
United States, California, Cupertino 
521305162

19.09.2024
Minimum Qualifications
  • 5+ years of professional experience in software development, with a strong emphasis on designing, implementing, and optimizing large-scale data and compute-intensive Frameworks / APIs, and tools.
  • 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 (Preferred).
  • 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.
  • BS/MS in Computer Science or related field
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • 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.