2 months ago
Base Salary
$146k - $234k/yr
Responsibilities
- Design, implement, and train causal graph models, planning algorithms, and multi-objective optimization approaches.
- Build and maintain training and inference pipelines, experiment tracking, model versioning, dataset loaders, and ML interfaces.
- Package trained models as containerized inference components and deliver code revisions with the Lead System Integrator.
- Design synthetic-data generation and simulation campaigns covering the models’ objective space.
- Present research findings, write technical reports and design documentation, and coordinate with academic subcontractor researchers.
Requirements
- Require 5+ years of experience and an MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related technical field.
- Require 2+ years of applied machine learning research experience in areas such as causal inference, Bayesian or probabilistic graphical models, probabilistic programming, learned optimization, or planning.
- Require strong Python software engineering skills and production-quality PyTorch experience, including custom models, training loops, and GPU performance profiling.
- Require experience converting research prototypes into maintainable, tested, containerized code and working with reproducible ML pipelines, experiment management, and dataset versioning.
- Require knowledge of multi-objective or constrained optimization and the ability to interpret research literature and communicate model behavior to technical and government stakeholders.
- Require US citizenship.
- Preferred qualifications include government research program experience, communications or digital signal processing knowledge, neuro-symbolic methods, graph generation, symbolic regression, executable-code generation, edge or embedded inference, relevant publications, and willingness to obtain a Secret security clearance.
Benefits
- Benefits include medical, dental, vision, life insurance, health savings account, short- and long-term disability, employee assistance program, parental leave, 401(k), paid time off, and company-paid holidays.
- The stated target base salary range is $146,000–$234,000 per year; employees may also be eligible for overtime, shift differential, and a discretionary bonus.
- The application period is estimated at 30 days from posting, subject to business needs and candidate availability.
Categories
AI ResearchML Engineering
About Peraton
Peraton builds and integrates mission systems, cyber, space, and intelligence solutions for U.S. defense, intelligence, and civil agencies. It delivers enterprise IT, satellite and terrestrial communications, and spectrum management under government contracts. Founded in 2017, the company is headquartered in Reston, Virginia and is privately held by Veritas Capital.