3 hours ago
Arlington, VA, USASenior
Base Salary
$161k - $201k/yr
Responsibilities
- Develop novel machine learning algorithms and models for Defense and Intelligence applications.
- Optimize neural networks and inference systems for high-throughput execution at continental and global scales.
- Develop computer vision, time series, and embeddings-based methods for satellite data.
- Collaborate with product managers, data scientists, and software engineers to define requirements and iterate on algorithms.
- Integrate ML preprocessing and inference pipelines with adjacent software engineering platforms.
- Establish testing, validation, and monitoring frameworks to maintain model reliability.
- Evaluate results rigorously and communicate algorithm failure modes and performance insights.
Requirements
- 10+ years of relevant experience, including 6+ years of machine learning experience.
- Expertise in data science, time series methods, computer vision, and embeddings.
- Ability to implement, train, and optimize neural networks and experiment with model architectures.
- Experience handling large datasets, preferably with geospatial libraries, and using PyTorch or TensorFlow.
- Experience writing modular Python code and applying software development practices with Git, testing, and CI/CD.
- Experience deploying and maintaining models at scale using Docker, Kubernetes, or similar technologies.
- Experience with AWS or GCP.
- Graduate degree in a STEM or analytics-focused field or equivalent work experience.
- Strong communication skills for explaining technical topics to diverse audiences.
- Ability to work from the Washington, DC metro area and commute to Arlington, VA three days per week.
- Ability to obtain and maintain a US Security Clearance.
- Preferred: knowledge of remote sensing, satellite imagery, geospatial domains, coordinate reference systems, geometry manipulation, GeoTIFF, GeoJSON, geospatial or sensor-driven data products, model compression, GPU optimization, or distributed training pipelines.
Benefits
- Comprehensive medical, dental, and vision plans.
- Health Savings Account with company contribution.
- Paid time off, holidays, and company-wide days off.
- 16 weeks of paid parental leave.
- Wellness and Employee Assistance Programs.
- Home office reimbursement and monthly phone and internet reimbursement.
- Tuition reimbursement and access to LinkedIn Learning.
- Equity, commuter benefits for local office employees, and paid volunteer time off.
- Full-time hybrid role requiring work from the Arlington, VA office three days per week.