9 days ago
Cupertino, CA, USAMid Level
H1B Sponsor
Responsibilities
- Build and productionize machine learning systems that improve software quality and engineering productivity.
- Prototype and evaluate change-impact prediction, LLM-powered failure analysis, multimodal UI regression detection, and automated test recommendation techniques.
- Design data collection and evaluation strategies for large-scale test result and code change data.
- Develop reliable systems and data platforms that operate across Apple’s large software engineering organization.
- Identify data quality, modeling, and system design issues before they affect production-scale systems.
Requirements
- At least 3 years of machine learning experience in academic or professional settings, including substantial projects beyond coursework.
- Strong programming and software engineering skills with the ability to write clean, maintainable, production-quality code.
- Practical understanding of machine learning fundamentals, model training, evaluation, and debugging.
- Ability to implement algorithms from papers or specifications.
- Bachelor’s or master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
- Preferred experience with NLP, large language models, code understanding, or retrieval-augmented generation.
- Preferred background in computer vision or multimodal machine learning.
- Preferred experience building or maintaining data pipelines and machine learning infrastructure at scale.
- Preferred familiarity with software testing, CI/CD systems, or developer tooling.
- Preferred experience working with large-scale structured or semi-structured data and noisy, ambiguous, or expensive-to-obtain labels.
Categories
About Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own. Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.