Sr Machine Learning Engineer, Tech Lead — Autograder Systems, Evaluation

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About this role

Sr Machine Learning Engineer, Tech Lead — Autograder Systems, Evaluation Cupertino, United States of America We are looking for a Senior MLE Tech Lead to join a centralized evaluation organization and define the next generation of autograder quality across 20+ of Apple's most visible generative AI features. You will own the end-to-end technical vision for how we evaluate model outputs at scale - pioneering state-of-the-art methods, raising the technical bar, and leading a team of talented MLEs to build a robust autograder training and hillclimbing system from the ground up. This is a high-impact, hands-on leadership role at the intersection of model evaluation, data quality, and ML systems engineering. You will work closely with model developers, data teams, and product partners to ensure our autograders are fast, accurate, and continuously improving - directly shaping the quality of AI experiences used by hundreds of millions of people. In this role you will focus on: Technical Leadership * Define and drive the technical roadmap for autograder quality - researching and introducing novel methods such as reward modeling, LLM-as-judge, preference learning, and calibration techniques to measurably improve evaluation accuracy. * Architect and lead the build-out of a scalable autograder training pipeline encompassing data curation, model fine-tuning, evaluation harnesses, and versioning. * Design and own the hillclimbing system that iteratively improves autograder performance through systematic prompt and model optimization loops. * Establish quality benchmarks, confidence metrics, and failure analysis frameworks that enable the team to track, trust, and act on autograder outputs. People &

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