2 months ago
Springfield, VA, USASenior
Base Salary
$200k - $240k/yr
Responsibilities
- Design and implement machine learning models for detecting, classifying, and characterizing events and signatures in sensor data.
- Develop end-to-end ML workflows covering data preparation, model development, evaluation, optimization, and deployment.
- Collaborate with scientists and domain experts to translate sensor phenomenology and mission requirements into ML solutions.
- Write modular, documented, testable, and maintainable production-quality Python code.
- Evaluate models using operationally meaningful metrics, identify failure modes, and characterize edge cases.
- Integrate ML capabilities into analytical pipelines and software environments through deployment.
- Mentor junior AI/ML developers through code reviews, technical standards, and knowledge transfer.
- Contribute to ML trade studies and architecture decisions and provide technically grounded recommendations.
- Prepare technical documentation and briefings for customers and program stakeholders.
Requirements
- Active Top Secret clearance with the ability to obtain SCI and CI Polygraph.
- Bachelor's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Data Science, or a closely related technical field; an advanced degree is strongly preferred.
- At least 7 years of hands-on machine learning experience developing and deploying models in operational or production environments.
- Deep working knowledge of modern ML architectures, CNNs, transformers, object detection frameworks, and related methods.
- Expert-level Python programming and production-scale experience with PyTorch, TensorFlow, or equivalent frameworks.
- Experience building complete ML pipelines, including data ingestion, preprocessing, annotation and labeling, training, evaluation, and deployment.
- Ability to work directly with domain scientists or subject matter experts and translate between technical requirements, ML designs, and domain outputs.
- Hands-on experience mentoring or leading junior developers through code review, standards, and knowledge transfer.
- Strong technical documentation and communication skills.
- Preferred qualifications include experience with EO/IR, hyperspectral, SAR, remote sensing, computer vision, image classification, anomaly detection, event characterization, simulated or synthetic data, MLOps, large-scale geospatial or scientific datasets, AWS or Azure ML training environments, GPU-accelerated computing, and defense, intelligence, or classified customer environments.
- Proficiency with NumPy, SciPy, pandas, OpenCV, scikit-learn, or equivalent scientific Python libraries.
- A relevant quantitative PhD, particularly involving applied ML on real scientific data, is preferred.
Benefits
- Medical, dental, and vision health coverage.
- Health Savings Account with company contribution.
- Annual paid time off and paid holidays.
- Paid parental leave.
- 401(k) with generous company match.
- Training and development opportunities.
- Award programs and company-sponsored events.
- Coverage and support related to financial wellness, retirement planning, family assistance, continued education, and work-life balance.
Categories
About GRVTY
GRVTY builds software, data platforms, and analytics for intelligence, surveillance, reconnaissance, and targeting (ISR&T) missions, serving U.S. defense and intelligence customers. Offerings include GEOINT analytics, deployed analysts, enterprise IT support, and managed software services, including data lake/warehouse applications. The privately held company is headquartered in McLean, Virginia and operates under federal contracts across cyber, space, and spectrum domains.