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AIML – Sr. Machine Learning Engineer, Evaluation

Apple

Software and Technology Jobs

AIML – Sr. Machine Learning Engineer, Evaluation

full-timePosted: Oct 29, 2025

Job Description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences. Bring passion and dedication to your job and there's no telling what you could accomplish. The AIML Evaluation organization partners across Apple to measure, understand, and proactively improve our products and features like Siri and Apple Intelligence. We are looking for an outstanding ML Engineer that empowers other Data Scientists and ML Engineers to do their best work.

Locations

  • Cupertino, California, United States 95014

Salary

Estimated Salary Rangemedium confidence

40,000,000 - 80,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Required Qualifications

  • 7+ years of industry experience in ML Engineering or Data Science (experience, 7 years)
  • Experience leading strategic technical projects with multiple stakeholders that result in significant organizational impact (experience)
  • Strong programming skills in Python and Spark with experience building data pipelines and ML systems at scale (experience)
  • Experience leveraging LLMs, feature engineering, and machine learning to develop metrics and generate insights to improve the user experience (experience)
  • Demonstrated ability to influence technical direction and mentor ML Engineers or Data Scientists (experience)

Preferred Qualifications

  • Ph.D. in a technical or quantitative field such as Statistics, Biostatistics, Computer Science, Machine Learning, Operations Research, or 10+ years of industry experience with demonstrated technical leadership (experience, 10 years)
  • Passion for improving the user experience while preserving user privacy (experience)
  • Track record of quickly ramping on new technologies (experience)

Responsibilities

  • We are looking for an outstanding ML Engineer that empowers other Data Scientists and ML Engineers to do their best work.
  • Partner across engineering organizations to build tooling, processes, and methodologies to evaluate new features before launch
  • Develop data pipelines and frameworks that provide metrics and insights into how our users engage with features and how our products can be improved
  • Solve technical challenges in innovative ways
  • Leverage engineering best practices to improve team productivity

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Apple logo

AIML – Sr. Machine Learning Engineer, Evaluation

Apple

Software and Technology Jobs

AIML – Sr. Machine Learning Engineer, Evaluation

full-timePosted: Oct 29, 2025

Job Description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences. Bring passion and dedication to your job and there's no telling what you could accomplish. The AIML Evaluation organization partners across Apple to measure, understand, and proactively improve our products and features like Siri and Apple Intelligence. We are looking for an outstanding ML Engineer that empowers other Data Scientists and ML Engineers to do their best work.

Locations

  • Cupertino, California, United States 95014

Salary

Estimated Salary Rangemedium confidence

40,000,000 - 80,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Required Qualifications

  • 7+ years of industry experience in ML Engineering or Data Science (experience, 7 years)
  • Experience leading strategic technical projects with multiple stakeholders that result in significant organizational impact (experience)
  • Strong programming skills in Python and Spark with experience building data pipelines and ML systems at scale (experience)
  • Experience leveraging LLMs, feature engineering, and machine learning to develop metrics and generate insights to improve the user experience (experience)
  • Demonstrated ability to influence technical direction and mentor ML Engineers or Data Scientists (experience)

Preferred Qualifications

  • Ph.D. in a technical or quantitative field such as Statistics, Biostatistics, Computer Science, Machine Learning, Operations Research, or 10+ years of industry experience with demonstrated technical leadership (experience, 10 years)
  • Passion for improving the user experience while preserving user privacy (experience)
  • Track record of quickly ramping on new technologies (experience)

Responsibilities

  • We are looking for an outstanding ML Engineer that empowers other Data Scientists and ML Engineers to do their best work.
  • Partner across engineering organizations to build tooling, processes, and methodologies to evaluate new features before launch
  • Develop data pipelines and frameworks that provide metrics and insights into how our users engage with features and how our products can be improved
  • Solve technical challenges in innovative ways
  • Leverage engineering best practices to improve team productivity

Target Your Resume for "AIML – Sr. Machine Learning Engineer, Evaluation" , Apple

Get personalized recommendations to optimize your resume specifically for AIML – Sr. Machine Learning Engineer, Evaluation. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "AIML – Sr. Machine Learning Engineer, Evaluation" , Apple

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Hardware

Answer 10 quick questions to check your fit for AIML – Sr. Machine Learning Engineer, Evaluation @ Apple.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.