Materials Informatics Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$220,900 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k
This role $184k
$118k most similar roles pay here $232k

This role pays more than 72% of similar roles. Most pay $131,000–$191,375 — the shaded band above. At the midpoint, this role pays about $184k versus about $161k 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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Materials Informatics Engineer

As a Materials Informatics Engineer at Apple, you will join a cutting-edge team focused on developing innovative AI/ML workflows for materials modeling. Your daily tasks will include applying molecular dynamics simulation and computational chemistry methods to predict material properties and guide experimental formulation efforts. You will also build and deploy AI agents that automate the materials data pipeline from vendor data ingestion to simulation-ready material cards, collaborating with external vendors to translate ML-driven insights into practical specifications. Additionally, you will develop high-throughput screening pipelines for polymer discovery and document methodologies while maintaining shared codebases and presenting findings to cross-functional partners in materials science, FEA, and product design. This role requires a PhD in Materials Science or related fields, proficiency in Python for scientific computing, and experience with deep learning frameworks like PyTorch or TensorFlow. Strong skills in polymer physics, computational chemistry methods, and ML applications to physical sciences are essential.

What you'll do

  • Develop and maintain AI/ML workflows for materials modeling.
  • Apply molecular dynamics simulation to predict material properties and screen candidates.
  • Build and deploy AI agents to automate the materials data pipeline.
  • Collaborate with vendors on virtual materials frameworks, translating ML insights into specifications.
  • Develop high-throughput screening pipelines for polymer discovery using advanced models.

What we're looking for

  • PhD in Materials Science, Chemical Engineering, Chemistry, Applied Physics, or related field focusing on data-driven research
  • Strong expertise in polymer physics and soft matter properties
  • Proficiency in Python for scientific computing and workflow automation
  • Experience applying machine learning to physical science problems, including surrogate modeling and active learning
  • Familiarity with molecular dynamics simulation and computational chemistry methods
  • Ability to independently drive research projects from formulation to actionable recommendations
  • Strong communication skills for presenting technical work to cross-functional teams

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