Machine Learning Engineer - Strategic Data Solutions

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
36 days ago

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How this pay compares to similar roles

Similar $222k
$160k most similar roles pay here $277k

This listing doesn't post a salary. Most similar roles pay $193,321–$249,750.

Based on 240 similar postings.

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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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer - Strategic Data Solutions

As a Machine Learning Engineer at Strategic Data Solutions (SDS) within Apple, you will join a dynamic team dedicated to solving complex business problems through data-driven solutions. Your role involves collaborating with various internal teams to define, build, deploy, and maintain end-to-end operational systems that enhance security, mitigate fraud, and optimize efficiency across the company. You will engage stakeholders to translate ambiguous issues into actionable technical projects, design robust real-time decisioning models, and create comprehensive reports to monitor system performance. Key responsibilities include implementing machine learning solutions using Python, Scala, or Java, analyzing data trends, and communicating findings effectively to diverse audiences. This role requires a strong background in deploying ML solutions, experience with SQL for data extraction, and the ability to work collaboratively within a fast-paced environment that values innovation and technical excellence.

What you'll do

  • Translate ambiguous business problems into technical data science solutions.
  • Design data-driven solutions balancing traditional techniques with custom approaches.
  • Implement real-time and batch decisioning systems in production environments.
  • Monitor and report on the quality of decision-making processes and metrics.
  • Investigate trends, assess threats, and implement agile logic changes quickly.
  • Communicate complex technical concepts to stakeholders with varying backgrounds.

What we're looking for

  • Graduate degree or equivalent experience in data science-related fields.
  • Practical experience deploying machine learning solutions to solve real-world problems.
  • Proficiency in Python, Scala, or Java for implementing data science applications.
  • Theoretical knowledge of various machine learning algorithms and their applications.
  • Ability to extract insights from data using SQL and other querying languages.
  • Holistic understanding of system structures and interactions to predict impacts.

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