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Department Summary:
MITRE Technology and Engineering (MTE)'s Chemical and Optical Sciences Department serves as a vanguard for MITRE to meet the future needs of our customers, requiring technical excellence while encouraging creativity and fostering interests in current and emerging technologies across its diverse employees. Your future colleagues are a collegial team from diverse technical backgrounds who work across MITRE's sponsors and partners focused on the public good.
Roles & Responsibilities:
Develop deep learning and classical machine learning (ML) models for applications in chemistry and material science
Building ML pipelines and statistical analysis
Partner with experimentalists to design and develop new ML algorithms
Work in the public interest to provide novel materials solutions to our sponsors' most critical problems
Be an independent contributor in laboratory experimentation efforts related to new materials fabrication, characterization, and analysis
Be familiar with emerging materials concepts and be able to formulate experiments focused on validating the applicability of said concepts to a variety of different application/mission spaces
Interface with sponsors to discuss their most critical technical problems
Be able to propose novel materials-based ideas within MITRE's internal research and development program.
As needed and desired, contribute to other technical tasks requiring physical science and engineering expertise, including, but not limited to, next-generation materials for microelectronics.
Some domestic travel will be necessary.
Basic Qualifications:
PhD with relevant experience who can immediately contribute at this job level
Ph.D. in Chemistry, Materials Science, Chemical Engineering, Computational Chemistry, Materials Informatics, Physics, Computer Science or a closely related STEM discipline (or MS with additional experience).
Proficiency in Python and data science core libraries NumPy, PyTorch, JAX, pandas scikit-learn
Familiarity with software engineering best practices (version control, documentation) and open-source contributions
Firm grasp of materials science and engineering, with an emphasis on polymer/elastomer composites.
Demonstrated ability to communicate complex technical concepts to multidisciplinary teams and government sponsors.
Experience leading independent research efforts and transitioning innovative concepts into operationally relevant capabilities.
Strong systems thinking and ability to connect fundamental science with mission outcomes.
The ability to obtain a Department of War SECRET clearance
Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
This position requires a minimum of 4 days a week on-site
Preferred Qualifications:
Experience applying AI to laboratory automation, including autonomous experimentation, inverse design, or closed-loop optimization.
Peer-reviewed publications applying AI/ML to chemistry and/or materials science
Experience developing and applying deep learning methods for scientific discovery, including graph neural networks (GNNs), transformer architectures, diffusion models, flow matching models, and representation learning for molecular and materials systems.
Understanding of symmetry-aware ML concepts relevant to materials science, including equivariant neural networks, geometric deep learning, and physics-informed or symmetry-preserving model architectures.
Experience with computational chemistry and materials science python libraries, including one or more of:
pymatgen
Atomic Simulation Environment (ASE)
RDKit
matminer
FireWorks
scikit-learn
PyTorch
Familiarity with atomistic simulation methods, molecular modeling, density functional theory (DFT), molecular dynamics (MD), or high-throughput computational screening workflows.
Experience with foundation models, large language models, scientific ML, AI agents, or autonomous research systems for scientific reasoning and discovery.
Record of open-source software contributions, or successful transition of research into operational capabilities.
Demonstrated success leading multidisciplinary teams spanning AI, chemistry, materials science, software engineering, robotics, and systems engineering.
Experience identifying emerging technologies and shaping research strategies aligned with national security priorities.
Passion for advancing trustworthy and responsible AI for scientific applications.
Excellent written and verbal communication skills with technical and executive stakeholders
Active or current DoD security clearance (Secret or higher).
This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Secret
Salary compensation range and midpoint:
$143,600 - $179,500 - $215,400 Annual
Work Location Type:
Onsite
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
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