Senior Data Scientist, AIML Evaluation

Apple Inc

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Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $255k
$143k most similar roles pay here $344k

This role pays more than 87% of similar roles. Most pay $167,337–$254,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $211k 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 2925 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2305 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist, AIML Evaluation

The AIML - Sr Data Scientist, Evaluation joins the Data Science and Insights team within the evaluation organization. This role focuses on guiding product development through principled evaluation and rigorous data usage to improve search quality across various devices and languages. You will research and develop evaluation methods for products like Siri and Apple Intelligence while partnering with engineering teams to translate these methodologies into production technologies. Day-to-day responsibilities include managing large, complex datasets, solving non-routine analysis problems, performing prompt engineering, building LLMs as judges, and developing automated analysis pipelines. Required skills include proficiency in machine learning, statistical data analysis, and programming in languages such as Python, R, or Scala, alongside experience with SQL or Spark. The role specifically addresses the technical challenge of improving search experiences through advanced analytical methods and risk assessment.

What does a Data Scientist earn in California?

Median $208902 from 71 postings across 26 companies.

See salary data

What you'll do

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

What we're looking for

  • 5 years of relevant work experience.
  • Advanced degree in a quantitative field such as Statistics, Computer Science, Mathematics, or similar fields.
  • Proficiency in data science, machine learning, and statistical data analysis.
  • Experience conducting experiments regarding data quality, evaluation, and risk assessment.
  • Strong programming skills in scripting languages like Python, R, or Scala.
  • Proficiency in data-querying tools such as SQL or Spark.
  • Ability to translate business questions into technical solutions and communicate complex topics clearly.
  • Experience with methods addressing accuracy and variability in human annotation data (preferred).

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