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Entry Level Material Science Engineering Jobs in Bothell, WA

Blue Origin

Materials and Processes Engineer II

Seattle, WA · On-site

$99.20K - $138.88K/yr

S. degree or higher in materials science and engineering, chemical engineering, mechanical engineering, metallurgical engineering, polymer engineering, welding engineering, geology/geosciences and ...

Wje

Entry-Level Associate (General Application)

Seattle, WA · On-site

$79.28K - $118.92K/yr

This General Application is designed for entry-level associates who may not see an active posting ... global firm of engineers, architects, and materials scientists. Clients worldwide seek our ...

Kronos Consulting

Be Seen First

Materials & Process Engineer (Non-Destructive Testing)

Seattle, WA · On-site

$70 - $80/hr

Materials and processes * Research, design, and qualification efforts * Work procedures ... Engineering * Computer Science * Mathematics * Physics * Chemistry * Minimum 1+ years of ...

Uw

Research Scientist/Engr Assistant

Seattle, WA

$70.80K/yr

Institute for Protein Design has an outstanding opportunity for Research Scientist/Engr Assistant ... materials. The Peptide Core also characterizes de novo proteins through intact protein mass ...

Bruker

Junior Software Developer

Kirkland, WA

$71.10K - $127K/yr

... and materials at molecular, cellular and microscopic levels. In close cooperation with our ... Bachelors level degree in Computer Science, Software Engineering, or a related field Proficiency in ...

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Entry Level Material Science Engineering information

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$15

$29

$49

How much do entry level material science engineering jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for entry level material science engineering in Bothell, WA is $29.86, according to ZipRecruiter salary data. Most workers in this role earn between $21.78 and $36.83 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Material Science Engineer, and why are they important?

To thrive as an Entry Level Material Science Engineer, you need a solid background in materials science, chemistry, or engineering, typically supported by a bachelor's degree in a related field. Familiarity with laboratory techniques, materials characterization tools (such as SEM, XRD, or spectroscopy), and CAD software is often required. Strong analytical thinking, attention to detail, and effective teamwork are essential soft skills in this field. These skills and qualifications are crucial for ensuring precise material analysis, innovative problem-solving, and successful collaboration on engineering projects.

What types of projects and tasks can I expect to work on as an entry-level material science engineer?

As an entry-level material science engineer, you will typically assist in the development, testing, and analysis of materials such as metals, polymers, ceramics, or composites. Your daily tasks may include preparing samples, conducting laboratory experiments, collecting and analyzing data, and supporting senior engineers in research or product development projects. You’ll also collaborate closely with multidisciplinary teams, such as mechanical and chemical engineers, to solve materials-related challenges and improve product performance. This hands-on experience is invaluable and often serves as a springboard for more advanced roles in research, quality assurance, or product design.

What does an entry level material science engineer do?

An entry level material science engineer assists in the research, development, and testing of materials used to create products and structures. They typically work under the supervision of experienced engineers to analyze material properties, conduct experiments, and help improve manufacturing processes. Their responsibilities may include preparing samples, running laboratory tests, recording data, and supporting the design of new materials for specific applications such as aerospace, electronics, or energy. These engineers play a crucial role in helping organizations develop innovative and efficient materials. The position usually requires a bachelor's degree in material science, engineering, or a related field.

What is the difference between Entry Level Material Science Engineering vs Entry Level Metallurgical Engineering?

AspectEntry Level Material Science EngineeringEntry Level Metallurgical Engineering
Required CredentialsBachelor's in Materials Science, Engineering, or related fieldBachelor's in Metallurgical Engineering or Materials Science
Work EnvironmentResearch labs, manufacturing plants, R&D departmentsMining sites, metal production facilities, manufacturing plants
Industry UsageAutomotive, aerospace, electronics, consumer productsMining, metal extraction, alloy development, manufacturing

Entry Level Material Science Engineering and Entry Level Metallurgical Engineering share foundational knowledge and often overlap in industries like manufacturing and R&D. However, Material Science focuses more on the properties and applications of materials, while Metallurgical Engineering emphasizes metal extraction and processing. Both roles typically require a bachelor's degree and involve work in labs or industrial settings, but their specific industry applications differ slightly.

What cities near Bothell, WA are hiring for Entry Level Material Science Engineering jobs? Cities near Bothell, WA with the most Entry Level Material Science Engineering job openings:
Entry Level Material Science Engineering jobs near you
AI Research Scientist -- Agentic AI for Materials Discovery

AI Research Scientist -- Agentic AI for Materials Discovery

Meta

Redmond, WA

$184K/yr

Full-time

Posted yesterday

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 184 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:
  • 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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