Data Scientist • Senior

Who you are

You are an accomplished data scientist with over 5 years of experience, demonstrating a strong impact on product or model performance. Your inquisitive mind and outstanding technical skills enable you to unlock insights that improve the effectiveness of foundational models. You have a deep understanding of data mining techniques and are eager to expand your influence in the fast-evolving space of Generative AI.

Your experience includes assessing existing evaluation techniques for foundational models and improving them to suit specific use cases. You are skilled in studying loss patterns of models and attributing them to various drivers throughout the model development lifecycle, from pre-training to fine-tuning and reinforcement learning. You have a knack for defining training data quality metrics and assessing the quality of training data to ensure it positively impacts model performance.

You are also adept at driving interpretability of ablation studies, documenting key takeaways, and implementing a hypothesis-driven experimentation strategy. Your ability to build tools and automation processes using large language models (LLMs) allows you to scale data science projects effectively.

Desirable

A PhD degree is preferred, as it would enhance your understanding of complex data science concepts and methodologies. You are passionate about pushing the boundaries of data science and are excited about the potential of foundational models in driving innovation at Apple.

What you'll do

As a Senior Data Scientist at Apple, you will partner with machine learning researchers and engineers to develop foundational models that power Apple Intelligence features. You will lead projects aimed at improving evaluation techniques for existing models, ensuring they align with Apple's unique use cases. Your role will involve studying loss patterns and identifying drivers that influence model performance throughout the development lifecycle.

You will define and assess training data quality metrics, ensuring that the data used positively impacts model performance. Your work will also include driving the interpretability of ablation studies, documenting findings, and implementing a hypothesis-driven experimentation strategy to enhance model effectiveness.

In addition, you will build tools and automation processes using LLMs to scale data science projects, collaborating closely with cross-functional teams to ensure alignment and integration of your findings into broader initiatives. Your contributions will play a crucial role in advancing Apple's capabilities in data science and machine learning.

What we offer

Apple offers a dynamic work environment where innovation is at the forefront. You will have the opportunity to work with cutting-edge technologies and collaborate with some of the brightest minds in the industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of technology through data science and machine learning.