Machine Learning - Data Scientist Lead

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$181,100–$318,400 / yr
Posted
36 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k
This role $250k
$125k most similar roles pay here $339k

This role pays more than 85% of similar roles. Most pay $159,869–$234,725 — the shaded band above. At the midpoint, this role pays about $250k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Machine Learning - Data Scientist Lead

As a Data Scientist Lead in Apple's Video Engineering Data Analytics and Quality group, you will lead a small team of ML evaluation engineers and data scientists, providing technical guidance and driving alignment across research, engineering, and product teams. Your responsibilities include designing robust evaluation frameworks for machine learning models, setting evaluation standards, and developing methodologies to assess the performance of foundation models like LLMs and vision-language systems. You will leverage Python and libraries such as PyTorch and TensorFlow to create scalable evaluation tools and manage datasets, while also collaborating with cross-functional teams to prioritize goals and communicate findings through dashboards and presentations. This role requires expertise in evaluating supervised, unsupervised, and deep learning models, hands-on experience with LLMs, and a solid understanding of statistical testing and metrics like BLEU and ROUGE.

What you'll do

  • Lead and mentor a team of ML evaluation engineers and data scientists.
  • Define and implement evaluation standards and best practices for Apple teams.
  • Own the technical roadmap for evaluation infrastructure from planning through execution.
  • Design scalable evaluation frameworks for machine learning and deep learning models.
  • Develop methodologies to assess performance of foundation models across diverse tasks.
  • Create, curate, and manage evaluation datasets and benchmarks for AI experiences.

What we're looking for

  • 4+ years of industry or academic experience in machine learning or data science.
  • 2+ years of experience leading technical projects or mentoring junior engineers/scientists.
  • Strong hands-on experience evaluating various ML models, including LLMs and multimodal systems.
  • Proficiency in Python and relevant libraries (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).
  • Solid understanding of statistical testing, sampling, confidence intervals, and evaluation metrics.
  • Familiarity with open-source evaluation tools and frameworks for ML models.

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