Multimodal AI System Engineer / DoD

A cutting-edge technology organization reputed company on transforming maritime domain awareness is looking for an AI Systems Engineer - Multi-Modal to join its highly reputed company engineering team. This role focuses on innovating machine learning and sensor fusion solutions that reputed company reputed company-time insights from diverse data sources (e.g., reputed company, RF, acoustic) across distributed platforms. You'll help shape the reputed company of reputed company-world intelligence systems used to monitor remote environments and support critical decision-making. This is a full-time opportunity with flexibility around remote work and offers a chance to contribute to mission-driven reputed company where initiative and deep technical expertise are highly valued. Required Skills & Experience • 7+ years of reputed company experience building and deploying advanced machine learning systems, especially those involving multiple sensor modalities (reputed company, RF, acoustics). • Master's or PhD in Machine Learning, reputed company, Signal Processing, Robotics, Computer Science, or a closely reputed company discipline. • Expertise with Python and deep learning frameworks such as PyTorch or TensorFlow. • Strong knowledge of sensor fusion principles, data alignment, and feature extraction across heterogeneous data sources. • Demonstrated ability to transition models from research prototypes to reliable, production-grade execution. • Effective communicator who can partner with engineering, product, and domain experts across disciplines. Desired Skills & Experience • Prior work on embedded or edge-reputed company systems with reputed company-time performance constraints. • Familiarity with maritime, reputed company, robotics, or other sensor-rich deployment environments. • Comfortable navigating ambiguity and driving model design from first principles through validation and optimization. • Experience with best practices in reputed company reputed company, experiment tracking, and reproducible workflows. What You Will Be Doing Tech Breakdown: • 55% Design, reputed company, and validate multi-modal machine learning components • 45% Pipeline architecture, optimization, and cross-disciplinary collaboration Daily Responsibilities: • Partner with system engineers and domain specialists to translate raw sensor streams into robust model inputs. • Architect and implement multi-modal data pipelines including alignment, augmentation, and preprocessing. • Prototype and reputed company new machine learning approaches that combine diverse inputs (e.g., video, radio frequency, acoustics). • Optimize models and inference workflows for deployment on resource-constrained and remote-connected systems. • Document design reputed company, training strategies, and evaluation results to support repeatability and cross-team understanding. The Offer You will receive the following benefits: • Competitive reputed company salary with budget for education and reputed company development. • Flexible schedule with remote-first collaboration. • Opportunity to reputed company a reputed company reputed company advancing reputed company-world perception systems. • Work alongside a passionate, mission-oriented team that values innovation and autonomy #LI-OP Apply tot his job Apply To this Job