Jobs / App***
Machine Learning Engineer - Intelligent Quality Systems
App*** · Cupertino, CA, United States
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Cupertino, CA, United States147,400-272,100 USD/yearlyOnsite
Remuneration
147,400-272,100 USD/yearly
Location
Cupertino, CA, United States
Visa sponsorship
Sponsors visa
Job summary
Our team of applied ML and software engineers builds intelligent systems that help App***'s OS software ship faster and with higher quality. We apply state-of-the-art ML, LLMs, computer vision, retrieval systems, and large-scale data analysis throughout the software lifecycle.
Benefits
At Apple, base pay is one part of our total compensation package and is determinThis provides the opportunity to progress as you grow and develop within a role.The base pay range for this role is between $147,400 and $272,100, and your baseIncluding: Comprehensive medical and dental coverage, retirementAdditionally, this role might be eligible for discretionary bonuses or commissioLearn more about AppleNote: Apple benefit, compensation and employee stock programs are subject to eli
Qualifications
- Experience with NLP, large language models, code understanding, or retrieval-augmented generation (RAG)
- Background in computer vision or multimodal ML
- Experience building or maintaining data pipelines and ML infrastructure at scale
- Familiarity with software testing, CI/CD systems, or developer tooling
- Experience working with large-scale structured or semi-structured data (logs, test results, code diffs)
- Comfort operating in environments where ground truth labels are noisy, ambiguous, or expensive to obtain
- Minimum
- 3+ years of experience with machine learning in academic or professional settings, with demonstrated work on substantial ML projects beyond coursework
- Strong programming and software engineering
- experience, and location.
- App*** employees also have the opportunity to become an App*** shareholder through participation in App***'s discretionary employee stock programs.
- App*** employees are eligible for discretionary restricted stock unit awards, and can purchase App*** stock at a discount if voluntarily participating in App***'s Employee Stock Purchase Plan.
Responsibilities
- In this role, you'll bring ML ideas to life on real-world, large-scale software systems.
- You'll prototype and evaluate techniques for problems like change-impact prediction, LLM-powered failure analysis, multimodal UI regression detection, and automated test recommendation.
- You will be a crucial bridge between research ideas and production reality, identifying gaps in data quality, modeling assumptions, and system design before they become issues at scale.
- Implement and refine ML solutions across the testing lifecycle, test selection, failure triage, visual validation, and test coverage analysis
- Rapidly prototype multiple algorithmic approaches to identify the most promising directions
- Design and implement data collection, labeling, and evaluation strategies for training and measuring ML systems
- Work with large-scale test result and code change data to surface patterns and inform modeling decisions
- Proactively identify research-to-production gaps and technical risks in proposed ML solutions
- Collaborate with applied scientists and software engineers to ship reliable, high-impact ML systems
- Preferred
Degrees
AssociateBachelor
Work schedule
Shift
Industry
AutomotiveEducationEnergy
Relocation
Yes