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Overnight Materials Informatics Scientist Jobs (NOW HIRING)

Apple

Materials Informatics Engineer

Cupertino, CA · On-site

... with materials informatics, cheminformatics, or polymer informatics (e.g., working with large ... Claude Code) for scientific workflowsBackground in one or more application areas: adhesive ...

Apple

Materials Informatics Engineer

Cupertino, CA

$147K - $220K/yr

... with materials informatics, cheminformatics, or polymer informatics (e.g., working with large ... Claude Code) for scientific workflows Background in one or more application areas: adhesive ...

IPG

Data Scientist - Materials R&D - Remote-Travel

... informatics, polymer modeling, and applied AI in scientific research Qualifications : Required : • Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical ...

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How much do overnight materials informatics scientist jobs pay per year?

As of Jun 17, 2026, the average yearly pay for overnight materials informatics scientist in the United States is $98,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $122,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Materials Informatics Scientist jobs? The most popular types of Materials Informatics Scientist jobs are:
Overnight Materials Informatics Scientist jobs near you
Materials Informatics Engineer

Materials Informatics Engineer

Apple

Cupertino, CA • On-site

Full-time

Posted 6 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with Apple products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unrivaled and rewarding opportunity to craft upcoming products that will delight and inspire.millions of Apple's customers every single day.
In this role, you will: develop and maintain AI/ML workflows for materials modeling- including surrogate models, generative material design, and closed-loop optimization frameworks that connect virtual material representations to FEA simulation and product-level performance targets
PhD in Materials Science, Chemical Engineering, Mechanical Engineering, Chemistry, Applied Physics, or a related field with a focus on computational or data-driven materials researchStrong foundation in polymer physics and soft matter - viscoelasticity, rheology, structure-property relationships, and constitutive modelingProficiency in Python for scientific computing, including data pipelines, numerical modeling, and workflow automationDemonstrated experience applying ML to physical science problems - surrogate modeling, generative models (e.g.,VAEs), active learning, interpretable ML (e.g., SHAP), andoptimizationFamiliarity with molecular dynamics simulation (atomistic or coarse-grained) and/or computational chemistry methods for property predictionExperience with deep learning frameworks (PyTorch, TensorFlow, or JAX) for scientific and generative modelingAbility to independently drive research from problem formulation through implementation to actionable recommendationsStrong communication skills with the ability to present technical work to cross-functional teams
Experience with materials informatics, cheminformatics, or polymer informatics (e.g., working with large polymer databases, SMILES/fingerprint representations, or group contribution methods)Familiarity with finite element analysis tools (e.g., Abaqus) and constitutive model calibration for polymersExperience building or using LLM-based agents (e.g. Claude Code) for scientific workflowsBackground in one or more application areas: adhesive materials, optical polymers, coatings, or display materialsTrack record of publications or patents in computational materials science or applied ML for materialsExperience with automated experimentation, high-throughput characterization, or self-driving lab concepts

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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