Role overview
We are seeking a Senior Applied Scientist to lead the design and implementation of novel, scalable quality control solutions for Apple Services. In this role, you will develop AI or ML solutions for programatically generating gold standard datasets, create anomaly detection systems, and pioneer use of Large Language Models for automated quality control. You will work closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance.
","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.
What we're looking for
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.
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 .