Your Impact at Lila The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of ...
Your Impact at Lila The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of ...
Solid State Chemist/Materials Scientist within AbbVie's MPDD organization work in cross-functional teams to support projects through all phases of development (Lead Optimization to Process Validation)
Solid State Chemist/Materials Scientist within AbbVie's MPDD organization work in cross-functional teams to support projects through all phases of development (Lead Optimization to Process Validation)
Manager, Material Scientist
$140K - $160K/yr
This role will partner closely with the VP of R&D and Innovation to help build and lead material science and pre-formulation efforts, while establishing the infrastructure needed to support continued ...
Manager, Material Scientist
$140K - $160K/yr
This role will partner closely with the VP of R&D and Innovation to help build and lead material science and pre-formulation efforts, while establishing the infrastructure needed to support continued ...
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 ...
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 ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous experience ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous experience ...
Account Manager - Material Science
Philadelphia, PA · On-site +1
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Account Manager - Material Science
Philadelphia, PA · On-site +1
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Account Manager - Material Science
Kansas City, MO · On-site +1
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Account Manager - Material Science
Kansas City, MO · On-site +1
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Account Manager - Material Science
Liverpool, NY · On-site +1
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Account Manager - Material Science
Liverpool, NY · On-site +1
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous experience ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous experience ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. * Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous experience ...
Preferably Post-Secondary Education with a focus in Business, Science or equivalent. Experience in the chemical distribution business, preferably in a sales capacity (3 to 5 years previous experience ...
The role To succeed in this role you will need to be passionate about advancing material science using machine learning and other computational techniques. As an embedded Research Engineer you will ...
The role To succeed in this role you will need to be passionate about advancing material science using machine learning and other computational techniques. As an embedded Research Engineer you will ...
Material Science information
See salary details
$9.38 - $11.39
0% of jobs
$11.39 - $13.40
0% of jobs
$13.40 - $15.41
2% of jobs
$15.41 - $17.42
9% of jobs
$18.95 is the 25th percentile. Wages below this are outliers.
$17.42 - $19.43
18% of jobs
The median wage is $21.26 / hr.
$19.43 - $21.44
23% of jobs
$21.44 - $23.45
18% of jobs
$24.57 is the 75th percentile. Wages above this are outliers.
$23.45 - $25.46
9% of jobs
$25.46 - $27.47
7% of jobs
$27.47 - $29.48
7% of jobs
$29.48 - $31.49
6% of jobs
$9
$22
$31
How much do material science jobs pay per hour?
As of Jul 22, 2026, the average hourly pay for material science in the United States is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $25.24 per hour, depending on experience, location, and employer.
What jobs can you do with material science?
Material science graduates can pursue careers as materials engineers, research scientists, quality control specialists, or product development engineers. These roles involve analyzing, testing, and developing materials such as metals, polymers, ceramics, and composites, often requiring knowledge of laboratory techniques and computer-aided design tools.
What is a material science salary?
A material science salary varies based on experience, education, and location, but typically ranges from $60,000 to $100,000 annually for entry-level to experienced professionals. Salaries can increase with specialized skills, certifications, and working in high-demand industries such as aerospace, automotive, or research. Many roles also include benefits like health insurance and opportunities for advancement.
What are the key skills and qualifications needed to thrive in the Material Science position, and why are they important?
To thrive in Material Science, you need a solid background in physics, chemistry, materials engineering, and problem-solving, usually supported by at least a bachelor's degree in materials science or a related discipline. Familiarity with scientific instrumentation, materials characterization software, and quality control systems is often required, along with certifications such as Six Sigma or experience with ISO standards. Strong analytical thinking, clear communication, and collaborative skills distinguish outstanding professionals in this field. These competencies enable effective research, innovation, and seamless teamwork in developing and optimizing new materials for various industries.
What jobs can you get with a material science degree?
A material science degree can lead to careers such as materials engineer, research scientist, quality control analyst, or product development specialist. These roles often involve working with metals, polymers, ceramics, or composites, and may require knowledge of testing methods, CAD software, and industry standards.
What are some typical projects and day-to-day tasks in a Material Science position?
Material Science professionals often engage in researching, testing, and developing new materials or improving existing ones to meet specific industry needs. Typical tasks might include preparing and analyzing material samples, conducting experiments in labs, interpreting test data, and collaborating closely with engineering or product development teams. You may also be involved in troubleshooting manufacturing processes or supporting quality assurance efforts. These roles frequently require documenting findings, presenting results, and contributing to cross-departmental meetings, making every day varied and dynamic. Many positions offer hands-on involvement as well as opportunities for cross-functional teamwork.
What is a Material Science job?
A Material Science job involves researching, developing, and testing materials to improve their properties for various applications. Material scientists work with metals, ceramics, polymers, and composites to enhance performance in industries like aerospace, healthcare, and manufacturing. They analyze the structure and properties of materials to innovate and create new products or improve existing ones. These professionals often collaborate with engineers and manufacturers to ensure materials meet required standards for durability, sustainability, and cost-effectiveness.
Is material science high paying?
Material science careers can offer competitive salaries, especially for roles in research, development, or engineering that require specialized knowledge and skills. Salaries vary based on experience, education, location, and industry, with positions in aerospace, electronics, and manufacturing typically paying higher wages.
More about Material Science jobs
What cities are hiring for Material Science jobs? Cities with the most Material Science job openings:
What are the most commonly searched types of Material Science jobs? The most popular types of Material Science jobs are:
What states have the most Material Science jobs? States with the most job openings for Material Science jobs include:
What job categories do people searching Material Science jobs look for? The top searched job categories for Material Science jobs are:
Full-time
Posted 26 days ago
Job description
AI Resident - 2026 Cohort
The AI Residency Program is a full-time research opportunity designed to bridge the gap between academic research and industry applications in AI for materials science. Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research.
Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.
Application Requirement:
Please submit your resume alongside a research proposal (up to 3 pages, unlimited references) outlining the project you would plan to pursue during your residency at Lila Sciences. Please submit your research proposal as your cover letter. Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included.
Your Impact at Lila
The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lila's world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you'll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required - what matters most is pushing the frontier of scientific discovery.
What You'll Be Building
What You'll Need to Succeed
Bonus Points For
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
The AI Residency Program is a full-time research opportunity designed to bridge the gap between academic research and industry applications in AI for materials science. Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research.
- Duration: 6-12 months (extension possible)
- Start Dates: First hires beginning January 2026, with rolling applications and additional intakes in Summer and Fall 2026
- Cohort Size: Small group of selected residents
- Mentorship: Pairing with technical mentors, feedback from cross-functional teams
- Resources: Access to proprietary datasets, high-performance compute, and Lila's research infrastructure
Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.
Application Requirement:
Please submit your resume alongside a research proposal (up to 3 pages, unlimited references) outlining the project you would plan to pursue during your residency at Lila Sciences. Please submit your research proposal as your cover letter. Applications without both documents will not be considered. Optional supporting materials (e.g., recommendation letters, publications, research artifacts) may also be included.
Your Impact at Lila
The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lila's world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you'll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required - what matters most is pushing the frontier of scientific discovery.
What You'll Be Building
- Design and execute independent research projects in AI for materials science
- Collaborate with Lila scientists and engineers on cutting-edge, open-science initiatives
- Explore domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation
- Contribute to collaborative team research and co-develop novel approaches to scientific discovery
- Share findings internally and externally; publications are welcome but not mandatory
What You'll Need to Succeed
- Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field (Bachelor's, Master's, or PhD)
- Proficiency in Python and deep learning frameworks (e.g., PyTorch)
- Experience working with large-scale datasets or simulations
- Familiarity with modern AI/ML architectures and training techniques
- Strong research background, demonstrated through publications, thesis work, or open-source projects
Bonus Points For
- Prior work on ML applications in scientific domains (e.g., materials discovery, chemistry, simulations)
- Familiarity with Bayesian optimization, active learning, or generative models
- Experience in reinforcement learning or agent-based approaches to scientific reasoning
- Open-source contributions or collaborative research experience
- Strong communication and writing skills, especially for conveying complex scientific ideas
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.