Lead ML Engineer, Space Optics Systems

Rocket Lab - Events; Tucson (AZ); On-site; USD 160,000 - 260,000; Full time

Job summary

Rocket Lab Optical Systems in Tucson, AZ, is seeking a Principal Machine Learning Engineer to develop deep learning solutions for electro-optical image processing and warfighter applications. You will design, train, and deploy ML models, build end-to-end ML pipelines, and collaborate with researchers across AI, CV, and software engineering teams.

The role requires a strong ML background, experience in computer vision, and proficiency with Python and DL libraries. U.S.

Qualifications

• 12+ years of experience in ML/AI and a relevant degree.
• Experience building deep learning models for computer vision and image processing.
• Strong math background, especially linear algebra.
• Proficiency in Python and ML frameworks.

Responsibilities

• Contribute your experience to developing solutions for real-world problems.
• Design, train, and deploy machine learning models for Optical Systems applications
• Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference.
• Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision.
• Preform rapid prototyping and enhanced development to be integrated into operational systems.
• Perform troubleshooting, bug fixes, and maintenance of existing and new systems.
• Stay current with ML research and evaluate new tools, frameworks, and techniques

Skills

Python

Deep learning

Computer vision

ML model development

TensorFlow

Keras

PyTorch

Software engineering fundamentals

Version control

US citizenship

Education

Bachelor’s degree in Computer Science or Engineering

Master’s or PhD in CS/EE/ME/Physics

Tools

C/C++

Rust

Job description

Rocket Lab Optical Systems in Tucson, AZ, is seeking a Principal Machine Learning Engineer to develop deep learning solutions for electro-optical image processing and warfighter applications. You will design, train, and deploy ML models, build end-to-end ML pipelines, and collaborate with researchers across AI, CV, and software engineering teams.

The role requires a strong ML background, experience in computer vision, and proficiency with Python and DL libraries. U.S.