Apple · 4 days ago
Senior Applied Scientist - Apple Services Engineering
Seattle, WA
Full-time
Onsite
Mid, Senior Level
$172K/yr - $258K/yr
3+ years expApple is a technology company that connects millions of users worldwide through its services like the App Store and Apple Music. They are seeking a Senior Applied Scientist to lead the design and implementation of scalable quality control solutions for data quality in AI and machine learning systems.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Lead the design and implementation of novel, scalable quality control solutions for Apple Services
Develop AI or ML solutions for programmatically generating gold standard datasets
Create anomaly detection systems and pioneer use of Large Language Models for automated quality control
Work closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance
Qualification
Required
3+ years of industry experience in an Applied Scientist, Machine Learning Engineer, or Data Scientist role with focus on data quality, evaluation, or related areas
Proven experience designing, building, and deploying scalable data quality or evaluation systems in production environments
Strong hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and applications such as grading, validation, or classification
Proficiency in Python, data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow), SQL, and distributed computing environments (Spark, Hadoop)
MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, OR BS degree in a related quantitative field with 8+ years of relevant industry experience
Preferred
PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience
Experience with data labeling operations, annotation quality frameworks, or human-in-the-loop systems
Familiarity with prompt optimization frameworks or automated prompt engineering
Experience in natural language processing (NLP) or natural language understanding (NLU)
Experience with MLOps practices and tools for deploying, monitoring, and managing ML models in production
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or large-scale distributed infrastructure systems
Prior experience contributing to open-source projects or publishing research in relevant academic conferences or journals
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Public CompanyTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
2021-04-30Post Ipo Equity
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase