Machine Learning Engineer - Strategic Data Solutions

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
88 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 Apple’s Strategic Data Solutions team, you will work on solving complex business problems by designing data-driven solutions that enhance security, mitigate fraud, and optimize operational efficiency. Your day-to-day responsibilities include collaborating with stakeholders to translate ambiguous challenges into actionable technical requirements, implementing robust real-time decisioning systems, and creating monitoring tools to ensure the health of operational metrics. You will leverage your expertise in machine learning algorithms and programming languages like Python or Scala to build scalable solutions that impact Apple’s manufacturing, fulfillment, and services operations at an enormous scale. This role requires a graduate degree with relevant experience or equivalent practical knowledge, along with strong communication skills to effectively engage with diverse technical and business stakeholders.

What you'll do

  • Translate ambiguous business problems into technical data science solutions.
  • Design data-driven solutions that balance utility of existing techniques and custom approaches.
  • Implement robust real-time and batch decisioning systems in production environments.
  • Create and maintain reporting to monitor the quality and impact of decision-making processes.
  • Investigate trends and threats, making agile logic changes to respond effectively.
  • Communicate technical work and insights to stakeholders with varying levels of expertise.

What we're looking for

  • At least 3 years of experience deploying machine learning solutions.
  • Graduate degree or equivalent work experience in data science techniques.
  • Practical experience implementing data science applications in Python, Scala, or Java.
  • Theoretical understanding of various machine learning algorithms' strengths and weaknesses.
  • Ability to use SQL for data extraction and analysis.
  • Holistic thinking about system structures and their impacts on technical and business aspects.

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