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Materials Informatics Jobs in Seattle, WA (NOW HIRING)

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Materials Informatics information

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$48.4K

$97.4K

$142.3K

How much do materials informatics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for materials informatics in Seattle, WA is $97,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $113,800.00 per year, depending on experience, location, and employer.

What is a materials informatics?

A Materials Informatics job involves using data science, machine learning, and computational techniques to analyze and predict material properties, accelerating material discovery and optimization. Professionals in this field work at the intersection of materials science and informatics, leveraging large datasets and models to guide experiments and improve material performance. Common responsibilities include database management, algorithm development, and collaboration with researchers to interpret results and apply insights to real-world applications.

What are typical daily responsibilities for someone working in materials informatics?

Professionals in Materials Informatics commonly spend their days analyzing large-scale experimental and simulation data, developing and testing machine learning models, and collaborating closely with materials scientists, engineers, and software developers. They are often involved in designing data pipelines, automating analysis workflows, cleaning and curating materials datasets, and presenting their findings to both technical and non-technical stakeholders. Regular tasks may also include documenting methodologies, publishing research outcomes, and participating in team meetings to align projects with organizational goals. By working at the intersection of data science and materials research, they help accelerate the discovery and development of new materials.

What are the key skills and qualifications needed to thrive in materials informatics, and why are they important?

To thrive in Materials Informatics, you need a strong background in materials science combined with expertise in data analysis, machine learning, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages such as Python, data visualization tools, scientific databases, and materials-specific simulation software is essential. Strong problem-solving abilities, clear communication, and the ability to work collaboratively across interdisciplinary teams are valuable soft skills for this role. These competencies are crucial for transforming complex materials data into actionable insights, accelerating materials discovery and innovation.

What are the most commonly searched types of Materials Informatics jobs in Seattle, WA?

The most popular types of Materials Informatics jobs in Seattle, WA are:

What are popular job titles related to Materials Informatics jobs in Seattle, WA?

For Materials Informatics jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Materials Informatics jobs in Seattle, WA look for?

The top searched job categories for Materials Informatics jobs in Seattle, WA are:

Materials Informatics jobs near you
Infographic showing various Materials Informatics job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,426 per year, or $46.8 per hour.

AI Research Scientist -- Agentic AI for Materials Discovery

Meta

Redmond, WA

$184K/yr

Full-time

Re-posted 24 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics. The AI Specialist will design and build LLM-orchestrated multi-agent systems that autonomously drive materials discovery pipelines — from computational screening and simulation through synthesis and characterization — across both domains. By closing this loop with agentic AI, we aim to compress discovery timelines from years to weeks, directly accelerating Meta's ability to ship breakthrough AR/VR and robotics hardware. This position bridges two of Meta's highest-priority investment areas — frontier AI and the physical systems underpinning the metaverse and embodied intelligence — and will contribute both production systems and published research at top-tier venues.
AI Research Scientist — Agentic AI for Materials Discovery Responsibilities:
  • Design, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines
  • Build specialized AI sub-agents that operate within a closed-loop discovery framework
  • Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure
  • Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis
  • Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures
  • Evaluate and benchmark agent performance on materials discovery tasks — measuring accuracy, throughput, and synthetic viability of generated candidates
  • Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field
  • 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration)
  • Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar)
  • Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs
  • Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics

Preferred Qualifications:
  • Experience building multi-agent or LLM-orchestrated systems for scientific applications
  • Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries
  • Publications at peer-reviewed ML or domain conferences
  • Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining
  • Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows
  • Experience with HPC job orchestration

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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