Top Aerospace Machine Learning Jobs

The Senior Machine Learning Engineer will propose and develop innovative solutions using ML and computer vision, working with AI techniques in a defense technology setting.

Lead development of ML and deep learning solutions, design and deploy models, analyze datasets, and mentor junior team members.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

Collaborate with teams to develop AI and machine learning solutions, manage data science strategies, and implement advanced technologies for complex challenges in spaceflight.

The Staff Machine Learning Engineer will develop and optimize algorithms for geospatial analytics, collaborate with teams, and innovate machine learning techniques for satellite data.

The intern will assist in developing AI and machine learning systems, gaining hands-on experience with data processing, model training, and evaluation techniques.

Designs and implements AI and ML models for various R&D projects. Collaborates to understand business needs and improve model performance.

As a Senior Machine Learning Engineer, you will develop and deploy machine learning algorithms, collaborate on AI projects, and troubleshoot existing code.

The Forward-Deployed ML Engineer will develop AI weather models, manage external collaborations, and ensure integration with customer projects, translating technical work for non-technical stakeholders.