Apple · 9 hours ago
Senior Applied Scientist - Apple Services Engineering
Seattle, Washington, United States
Full-time
Onsite
Mid, Senior Level
$172K/yr - $258K/yr
3+ years expApple is a technology company that believes in enriching people's lives through innovative services. They are seeking a Senior Applied Scientist to lead the design and implementation of scalable quality control solutions for Apple Services, focusing on AI and machine learning systems to ensure high-quality user experiences.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Develop methodologies and systems to programatically generating gold standard datasets to measure and improve data quality across diverse content types
Build and validate LLM-based grading systems that align with human judgment for tasks including content classification, quality assessment, and metadata validation
Create and deploy anomaly detection systems to proactively identify data inconsistencies, biases, and errors across production pipelines
Collaborate with AI/ML engineering, product, and data science teams to identify quality challenges and integrate solutions into production workflows
Stay abreast of the latest advancements in machine learning, AI, data quality, and LLM research, applying relevant techniques to enhance our capabilities
Mentor and guide junior team members, fostering technical excellence and innovation in data quality operations
Communicate findings and recommendations clearly to technical and non-technical stakeholders, including senior leadership
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