AIML - Sr Data Scientist, Data and ML Innovation

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

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

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

123% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

AIML - Sr Data Scientist, Data and ML Innovation Cupertino, United States of America We are a group of data scientists, partnering with ML researchers and engineers who develop foundation models that power Apple Intelligence features. We are pushing the boundaries of data science by developing novel techniques to evaluate the performance and capabilities of Foundational Models. In addition, we leverage data mining expertise to identify characteristics of training data that influence the performance of these models. If you are an accomplished data scientist, who wants to expand your influence in this fast evolving and exciting space of Generative AI, this is a great opportunity for you. As a Sr Data Scientist partnering with ML Researchers, you will bring your inquisitive mind and outstanding technical skills to unlock insights about the drivers that improve effectiveness of foundation models. Some projects that you are likely to drive are: - Assess existing foundation models evaluation techniques and improve them to suit Apple's use cases. - Studying loss patterns of models and attributing them to the drivers across the life cycle of model development from pre-training to SFT to RL. - Defining training data quality metrics and assessing quality of training data to ensure it positively impacts model performance. - Driving interpretability of ablation studies, documenting takeaways and driving a hypothesis driven experimentation strategy. - Building tools and automation process using LLMs to scale data science projects. Minimum Qualifications: 5+ years of data science experience demonstrating strong impact to product or model performance.

Read the full description at jobs.apple.com. FewerJobs shows a source-linked preview and links to the original posting.