Machine Learning Engineer

Company : Apple
Location : Cupertino, CA, 95014
Posted Date : 15 October 2025
Job Details
Cupertino, California, United States Software and Services
Description
The Special Projects team at Apple is developing novel user-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models. We are looking for a highly skilled Machine Learning Engineer to build the processes to evaluate these experiences. A successful candidate is experienced in evaluating complex foundation model driven systems end-to-end, translating subjective product requirements into objective criteria, and has strong statistical analysis skills.
Responsibilities
- Design and implement processes for evaluating multi-modal generative models for end-to-end product requirements.
- Work closely with ML Researchers to define evaluation criteria and methodology to systematically evaluate foundation models.
- Conduct robust statistical analysis to identify model deficiencies and failure states.
Minimum Qualifications
- Master’s degree in Computer Science or other STEM majors
- 2+ years of hands-on industry experience with product focused statistical analysis for generative models
- Proficiency in Python and ML frameworks (Pytorch or Tensorflow)
Preferred Qualifications
- PhD in Computer Science, Machine Learning, Statistics or a related technical field
- 5+ years of hands-on industry experience with product focused statistical analysis for generative models
- Experience with experimental design, A/B testing and Failure Analysis
- Proficiency in training and evaluation of foundation models and frameworks
- A track record of publications or technical presentations in Machine Learning journals or conferences
- Excellent at communication and cross functional collaboration
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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