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Entry Level Material Science Research information

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$29.5K

$95.3K

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How much do entry level material science research jobs pay per year?

As of Jul 21, 2026, the average yearly pay for entry level material science research in the United States is $95,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Material Science Research vs Entry Level Materials Engineer?

AspectEntry Level Material Science ResearchEntry Level Materials Engineer
CredentialsBachelor's in Materials Science, Chemistry, or related fieldBachelor's in Materials Engineering, Mechanical Engineering, or related field
Work EnvironmentResearch labs, academic institutions, R&D departmentsManufacturing plants, product development, industrial settings
Industry UsageFocus on experimental research, material properties, and analysisDesign, testing, and application of materials in products

Entry Level Material Science Research typically involves conducting experiments and analyzing material properties in research settings, while Entry Level Materials Engineer focuses on applying material knowledge to develop and improve products in industrial environments. Both roles require a strong foundation in materials science but differ in their daily tasks and work settings.

What cities are hiring for Entry Level Material Science Research jobs? Cities with the most Entry Level Material Science Research job openings:
What are the most commonly searched types of Material Science Research jobs? The most popular types of Material Science Research jobs are:
What states have the most Entry Level Material Science Research jobs? States with the most job openings for Entry Level Material Science Research jobs include:
Entry Level Material Science Research jobs near you

Material Science Research Engineer, DeepMind

DeepMind

Mountain View, CA • On-site

Full-time

Posted 6 days ago

Job description

Minimum qualifications:
  • Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, a related technical field, or equivalent practical experience.
  • 2 years of experience applying software engineering principles in a scientific research environment.
  • Experience working with linear algebra, calculus and statistics.
  • Experience performing data exploration or data analysis across datasets.
  • Experience with JAX, PyTorch, or TensorFlow.

Preferred qualifications:
  • Master's degree or PhD in Computer Science, Electrical Engineering, Science, Mathematics, or equivalent practical experience.
  • Specific domain expertise in areas like inorganic chemistry, solid-state physics, or materials synthesis.
  • Experience applying modern deep learning architectures (e.g., transformers, diffusion models) to chemistry or materials science issues (e.g., ML force fields).
  • Experience running large-scale scientific simulations (e.g., molecular dynamics, computational chemistry simulations, etc.) on Cloud or HPC clusters.
  • Experience developing custom LLM agents or tool-using systems.
  • Experience with concurrent and distributed software algorithms and architectures.

About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Plan and perform rapid prototyping of machine learning techniques applied to problems in science.
  • Undertake exploratory analysis to inform experimentation and research directions.
  • Make improvements to model architectures and training procedures of machine learning models.
  • Implement tools, libraries, and frameworks to speed up and enable new research.
  • Report and present software developments, experimental results, and data analysis clearly and efficiently.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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