Machine Learning - Data Scientist Lead

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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About this role

Machine Learning - Data Scientist Lead Sunnyvale, United States of America Do you have a passion for computer vision and deep learning? Are you excited by the latest advances in multimodal models? The Video Engineering Data Analytics and Quality group is looking for a technical lead with deep expertise in evaluating machine learning and deep learning models, including foundation models and multimodal systems. In this role, you will design robust evaluation frameworks, mentor a team of engineers and scientists, and drive alignment across Apple's research, engineering, and product teams. You will combine strong analytical thinking, Python expertise, and a deep understanding of statistical evaluation and data quality. You will also help set the technical direction for how we measure and improve the quality of some of Apple's most exciting AI experiences. Lead and mentor a small team of ML evaluation engineers and data scientists, providing technical guidance, feedback, and code reviews. Define team-level evaluation standards and best practices that other teams across Apple can adopt. Own the technical roadmap for evaluation infrastructure, from planning through execution. Onboard and ramp up new team members on tools, datasets, and workflows. Design and implement scalable evaluation frameworks for machine learning and deep learning models. Develop robust methodologies to assess the performance of foundation models (such as LLMs and vision-language models) across diverse tasks. Leverage LLMs as judges to perform subjective and open-ended model evaluations, for example in summarization, reasoning, or multimodal generation tasks. Create, curate, and manage evaluation datasets and benchmarks. Drive cross-functional

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