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Materials Science Jobs (NOW HIRING)

Materials Science AI Engineer Pay Range: $60hr - $64hr The Materials Science AI Engineer will design, develop, and deploy advanced AI and machine learning models to solve complex material science and ...

Materials Science, Physics, Chemistry, Mathematics, Biology (or other advanced discipline), particularly at the level expected for graduate or PhD-level programs.The projects will help you learn how ...

Materials Science Ai Engineer Location: Santa Clara, CA Number of days onsite - 5 Days Need candidates with a PhD (Material Science or Machine learning preferred) Must Have Skills Skill 1 - Strong ...

Materials Science, Physics, Chemistry, Mathematics, Biology (or other advanced discipline), particularly at the level expected for graduate or PhD-level programs. The projects will help you learn how ...

Materials Science, Physics, Chemistry, Mathematics, Biology (or other advanced discipline), particularly at the level expected for graduate or PhD-level programs.The projects will help you learn how ...

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Materials Science information

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$53K

$124K

$173K

How much do materials science jobs pay per year?

As of Jun 4, 2026, the average yearly pay for materials science in the United States is $123,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a Materials Science job?

A Materials Science job involves studying and developing materials to improve existing products or create new ones. Professionals in this field work with metals, ceramics, polymers, and composites to enhance properties like strength, durability, and conductivity. They collaborate with engineers and manufacturers in industries such as aerospace, automotive, electronics, and healthcare. Common roles include materials engineer, metallurgist, and research scientist.

What are the key skills and qualifications needed to thrive in the Materials Science position, and why are they important?

To thrive in Materials Science, you need strong analytical skills in chemistry and physics, a degree in materials science or a related engineering field, and hands-on laboratory experience. Familiarity with technical tools such as electron microscopes, spectrometers, and materials characterization software, as well as certifications like Six Sigma or ASQ, are commonly required. Problem-solving abilities, effective teamwork, and clear communication skills are highly valued in this profession. These competencies are crucial for developing innovative materials, ensuring quality, and collaborating across multidisciplinary teams in research and industrial settings.

What typical career paths are available for professionals in Materials Science?

Materials Science professionals can pursue a variety of career paths including roles in research and development, quality assurance, product design, manufacturing, and technical consulting. Many start as lab technicians or junior engineers and can advance to senior scientist, project manager, or even into leadership roles such as director of materials engineering. Career progression often depends on accumulating hands-on experience, pursuing advanced degrees, and developing expertise with specialized materials or industry applications. Employers value individuals who continually update their skills and contribute to cross-functional projects. The field offers diverse opportunities in industries such as aerospace, automotive, biomedical devices, electronics, and energy.
What cities are hiring for Materials Science jobs? Cities with the most Materials Science job openings:
What are the most commonly searched types of Materials Science jobs? The most popular types of Materials Science jobs are:
What states have the most Materials Science jobs? States with the most job openings for Materials Science jobs include:
What job categories do people searching Materials Science jobs look for? The top searched job categories for Materials Science jobs are:
Infographic showing various Materials Science job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,973 per year, or $59.6 per hour.
Materials Science AI Engineer

Materials Science AI Engineer

Cynet Systems

Santa Clara, CA โ€ข On-site

$60 - $64/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Materials Science AI Engineer

Pay Range: $60hr - $64hr

The Materials Science AI Engineer will design, develop, and deploy advanced AI and machine learning models to solve complex material science and physics problems. The role involves working with experimental and simulation data to build predictive models and optimize material processes. The position includes developing data pipelines, collaborating with cross-functional teams, and integrating AI-driven insights into research and development workflows. The engineer will also ensure reproducibility of research through proper documentation and workflow management.

Strong proficiency in Python and C++ programming.

Experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow.

Knowledge of generative modeling techniques including GANs, VAEs, and transformer architectures.

Experience with MLOps, model deployment pipelines, and CI/CD practices.

Experience with data preprocessing, cleansing, and feature engineering.

Strong understanding of materials science principles.

2-4 years of experience in data science, AI, machine learning, or data engineering roles.

Experience working with large-scale data and building predictive models.

Experience with cloud-based computing platforms and distributed systems.

Design and develop AI, ML, and hybrid models for material science applications.

Process and analyze experimental and simulation data.

Develop and maintain data workflows and pipelines.

Optimize data processing and model execution on cloud platforms.

Collaborate with scientists and engineers to integrate AI into R&D processes.

Apply analytics to optimize material synthesis and reduce defects.

Document code, workflows, and best practices for reproducibility.

Strong analytical and problem-solving skills.

Expertise in data science libraries such as pandas, NumPy, and scikit-learn.

Knowledge of cloud platforms and distributed computing.

Strong communication and collaboration skills.

Degree in Computer Science, Engineering, Applied Mathematics, or related technical field required.


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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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