Senior ML Engineer II, Space Optics Imaging

Rocket Lab; Tucson (AZ); Sur place; USD 140 000 - 200 000; Plein temps

Résumé du poste

Rocket Lab Optical Systems in Tucson, AZ seeks a Senior Machine Learning Engineer II to advance deep learning for Electro-Optical image processing. You will design and train models, collaborate with cross-functional teams, and deploy solutions for DoD and Intelligence Community customers.

The role emphasizes CNN-based vision, scalable data pipelines, and rigorous validation. Requires US citizenship and eligibility for security clearance, with a focus on real-time and mission-critical performance.

Qualifications

• Bachelor's degree and 8+ years of experience in computer science or related field.
• Master’s degree or Ph.D. in relevant domains may substitute years of experience.
• Strong fundamentals in math and machine learning, including model selection and deployment.
• Experience building deep learning models for computer vision (CNN) and image processing.

Responsabilités

• Develop computer vision algorithms and deep neural networks for image and video processing chains.
• Collaborate with researchers/engineers on AI, ML, and CV.
• Work with physics-based image simulation to scale training data.
• Design, train, and deploy ML models for Optical Systems.
• Prototype rapidly for integration into operational systems.
• Troubleshoot, fix bugs, and maintain systems.
• Stay current with ML research and tools.

Connaissances

Math fundamentals

Machine learning

Python

Deep learning (CNN)

DL libraries

Software engineering basics

US citizenship

Security clearance eligibility

Formation

Bachelor's degree

Master’s or PhD in CS/EC/Physics

Outils

TensorFlow

Keras

PyTorch

Description du poste

Rocket Lab Optical Systems in Tucson, AZ seeks a Senior Machine Learning Engineer II to advance deep learning for Electro-Optical image processing. You will design and train models, collaborate with cross-functional teams, and deploy solutions for DoD and Intelligence Community customers.

The role emphasizes CNN-based vision, scalable data pipelines, and rigorous validation. Requires US citizenship and eligibility for security clearance, with a focus on real-time and mission-critical performance.