Senior Data Scientist, AIML Evaluation

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
76 days ago
Freshness
Confirmed live yesterday

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k
This role $214k
$135k most similar roles pay here $293k

This role pays more than 51% of similar roles. Most pay $165,825–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $210k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist, AIML Evaluation

AIML - Sr Data Scientist, Evaluation joins the evaluation organization's Data Science and Insights team to guide product development through principled evaluation and rigorous data usage. This role involves researching and developing evaluation methods for products like Siri and Apple Intelligence while partnering with engineering teams to improve search quality across various devices and languages. The successful candidate will manage large, complex datasets, solve non-routine analysis problems using advanced techniques such as prompt engineering and building LLMs as judges, and build iterative analysis pipelines to provide insights at scale. Key technical requirements include proficiency in machine learning, statistical data analysis, and programming skills in SQL, Spark, Python, R, or Scala. The role focuses on the specific domain of improving search experiences and evaluating core machine learning algorithms and user experience metrics for high-scale consumer products.

What does a Data Scientist earn in California?

Median $208978 from 66 postings across 27 companies.

See salary data

What you'll do

  • Research and develop evaluation methods to improve the quality of Siri and Apple Intelligence products.
  • Translate methodological developments into technologies that product engineering teams can use daily.
  • Solve non-routine analysis problems using advanced techniques like prompt engineering and building LLMs as judges.
  • Build and prototype iterative analysis pipelines to provide insights at scale from large, complex datasets.
  • Conduct data collection, quality control, and requirements specification for various product evaluations.
  • Develop a deep understanding of product data structures and advocate for metric changes to improve development.
  • Partner with engineering teams to evaluate core machine learning algorithms and user experience metrics.

What we're looking for

  • Advanced degree in a quantitative field such as Statistics, Computer Science, Mathematics, Physics, or similar.
  • Proficiency in data science, machine learning, and statistical data analysis.
  • Experience conducting experiments and investigations regarding data quality, evaluation, and risk assessment.
  • Strong programming skills including SQL, Spark, and scripting languages like Python, R, or Scala.
  • Ability to translate business questions into technical solutions using advanced analytical methods.
  • Strong communication skills to explain complex technical topics to diverse stakeholders.
  • Experience with methods addressing accuracy and variability in human annotation data.
  • Proven ability to manage projects of varying scopes and collaborate across functions.

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