Senior Applied Scientist - AI Evaluation & Quality Systems

Senior Applied Scientist - AI Evaluation & Quality Systems

Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the quality of our evaluation systems. We believe that to build exceptional AI, you need exceptional mechanisms to validate the signals used to train and evaluate them.

• Design and implement scalable ground truth generation pipelines across varied task types, annotation modalities, and cold start conditions
• Build and maintain calibration frameworks that keep LLM evaluators anchored to human judgment over time
• Develop anomaly detection systems that surface evaluator drift, distribution shifts, and coverage gaps across human annotation and automated evaluation pipelines
• Design, build, and deploy autonomous QA agents targeting specific facets of evaluation quality, architected for generalizability and self-service adoption across teams
• Partner closely with cross-functional teams to ensure evaluation systems meet the highest standards of accuracy, consistency, and relevance
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders, including senior leadership
• Contribute to a culture of technical excellence by sharing knowledge and best practices across the team

• 5+ years of industry experience in applied science or machine learning with demonstrated impact on shipped systems
• Strong hands-on experience with Large Language Models including prompt engineering and applied use cases such as grading, validation, or classification
• Strong working knowledge of evaluation methodology for generative AI, including LLM-as-a-judge design, meta-evaluation, and failure mode analysis
• Familiarity with human-in-the-loop evaluation systems and the operational dynamics that affect data quality at scale
• Hands-on experience designing ground truth generation pipelines across varied task types and annotation modalities
• Proficiency in Python and relevant ML frameworks, with production experience building, deploying, and monitoring LLM-based pipelines and agents
• MS or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience

• PhD in Computer Science, Machine Learning, Statistics, or a related field
• Experience designing agent architectures that are configurable and extensible by practitioners who did not build them
• Hands-on experience building anomaly detection systems for evaluation quality, including drift detection, distribution analysis, and systematic bias identification
• Strong communication skills with the ability to influence technical direction across cross-functional teams
• Demonstrated passion for leveraging AI to improve work efficiency and scale

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.

Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms…