AI Systems Engineer – Multi Modal

Vaga não está no LinkedIn

🕒 Outubro 22, 2025

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Quartermaster

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2023

🤖 Inteligência Artificial

🔒 Cibersegurança

🚗 Transporte

Artificial Intelligence • Cybersecurity • Transport

Quartermaster é uma empresa que está redefinindo a inteligência marítima, fornecendo precisão e visibilidade incomparáveis em tempo real para monitorar as águas mais remotas do mundo. Seu sistema SmartMast, movido por inteligência artificial, transforma embarcações comuns em uma rede abrangente de inteligência oceânica, melhorando significativamente o monitoramento das atividades marítimas e abordando questões como contrabando e pesca ilegal. Ao aproveitar os sensores de bordo e a conectividade via satélite de alta capacidade, a Quartermaster oferece detecções de alta resolução e insights acionáveis para os usuários, garantindo uma maior conscientização e tomada de decisão marítima.

Descrição

• Research, design, and implement advanced machine learning models that combine vision, RF, and acoustic signals for detection, classification, and tracking tasks • Architect sensor fusion pipelines that support robust, redundant, and context-aware perception in dynamic environments • Collaborate closely with domain experts and systems engineers to translate raw sensor data into actionable model inputs • Design and oversee data pipelines for multi-modal learning, including data alignment, augmentation, and pre-processing across modalities • Optimize models and inference workflows for low-latency execution on embedded and edge compute platforms • Lead performance analysis across individual and fused modalities, and drive strategies for improving robustness and generalization • Prototype and operationalize novel research in sensor fusion, uncertainty modeling, and representation learning • Contribute to long-term architectural decisions around multi-modal AI infrastructure, tooling, and evaluation frameworks • Document model design, training methodology, and validation processes with rigor and clarity.

🎯 Requisitos

• PhD or Master’s degree in Machine Learning, Computer Vision, Signal Processing, or a closely related field • 7+ years of experience building and deploying machine learning systems, with a focus on multi-modal or sensor fusion applications • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow • Demonstrated experience working with camera imagery, RF signals and/or acoustic data • Deep understanding of signal alignment, temporal/spatial synchronization, and feature extraction across diverse data types • Proven ability to bridge research and application—delivering high-performance models in production contexts • Excellent communication and collaboration skills in cross-functional, interdisciplinary teams • Experience in maritime, aerospace, or other sensor-rich environments is a significant plus.

🏖️ Benefícios

• Competitive salary • Flexible work hours and the option for remote work. • Opportunities for professional development and continued education.