Job Description

Responsibilities

• Design, train, and deploy computer vision and perception models for edge-compatible, mission-critical environments.
• Build multi-sensor perception systems that fuse imagery, video, and other sensor data into coherent battlefield views.
• Improve the accuracy, fidelity, and robustness of Lattice’s understanding of objects, activities, and environments.
• Integrate state-of-the-art machine learning algorithms into production systems used in real-world customer scenarios.
• Develop mission-relevant evaluation frameworks, datasets, and benchmarks for field perception performance.
• Collaborate with software, autonomy, product, and deployment teams to convert research ideas into operational capabilities.
• Identify new perception and battlefield-understanding problems where computer vision advances can create product impact.

Requirements

• Bachelor’s, master’s, or doctoral degree in computer science, robotics, electrical engineering, machine learning, or a related technical field.
• 5+ years of experience developing computer vision, perception, or machine learning systems in production or advanced research settings.
• Strong experience with deep learning, object detection, and object tracking frameworks.
• Strong Python programming skills for reliable research and production workflows.
• Experience training, evaluating, and iterating on vision models for detection, tracking, segmentation, classification, or sensor fusion.
• Experience deploying or optimizing machine learning systems for constrained, real-time, or edge computing environments.
• Ability to work across the full applied machine learning lifecycle, from problem formulation and data strategy through deployment and performance monitoring.
• Eligibility to obtain and maintain an active U.S. Secret security clearance.
• Advanced degree focused on computer vision, perception, robotics, or machine learning is preferred.
• Preferred experience includes multi-modal or multi-sensor fusion, embedded or air-gapped deployment, real-time perception for autonomous or safety-critical systems, large-scale vision datasets and labeling pipelines, and geospatial, ISR, EO/IR, radar, or other battlefield-relevant sensing modalities.

Benefits

• Comprehensive benefits package available at little to no cost to full-time employees.
• Highly competitive equity grants are included in the majority of full-time offers.

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