Machine Learning Engineer, Strategic Data Solutions (Fulfillment, Supply Chain, Logistics domain exp)

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$210,100 / yr
Posted
69 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $175k
$125k most similar roles pay here $275k

This role pays less than 78% of similar roles. Most pay $184,787–$246,562 — the shaded band above. At the midpoint, this role pays about $175k versus about $216k 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 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 (Fulfillment, Supply Chain, Logistics domain exp)

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As a Machine Learning Engineer at Strategic Data Solutions on the Fulfillment Operations team, you will work closely with internal partners to solve complex business problems in the supply chain and logistics domain. Your day-to-day responsibilities include translating ambiguous business challenges into technical solutions, designing data-driven models that balance established techniques with custom approaches, and implementing robust real-time decision-making systems. You will also build end-to-end data pipelines and automate fulfillment processes, ensuring continuous monitoring of decision quality to maintain operational efficiency. The role requires proficiency in Python and a solid understanding of machine learning algorithms, as well as the ability to communicate technical insights effectively across various business units. Experience with operations research or mathematical optimization techniques is highly valued, given the scale and complexity of Apple's global supply chain.

Skills

Python Machine Learning Data Pipelines Model Deployment CI/CD Cloud Services Databases Kubernetes Terraform AWS Grafana Prometheus Linear Programming AI-Assisted Coding Tools

What you'll do

  • Design data-driven solutions to improve operational efficiency and security.
  • Build end-to-end data pipelines and models for fulfillment processes automation.
  • Implement real-time and batch decision-making systems in production environments.
  • Monitor and report on the quality of decisioning to maintain business metrics health.
  • Collaborate with stakeholders to translate complex business problems into technical solutions.
  • Communicate technical work effectively to stakeholders with varying backgrounds.

What we're looking for

  • At least 3 years of experience deploying machine learning solutions to solve real-world problems.
  • Graduate degree in a relevant field or equivalent work experience using data science techniques.
  • Strong theoretical understanding of machine learning algorithms and their applications.
  • Practical experience implementing data science applications in Python or similar language.
  • Ability to design end-to-end data pipelines and models for automation and process improvement.
  • Effective communication skills to translate technical concepts into business-focused solutions.
  • Experience with operations research or mathematical optimization techniques preferred.

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