Senior Machine Learning Engineer

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.