Senior Machine Learning Engineer II (EO/IR Image Analysis)

Rocket Lab•Long Beach, CA

9d•Onsite

About The Position

As a Senior Machine Learning Engineer II for Rocket Lab Optical Systems in Long Beach, CA, you will have the opportunity to support Tranche 3 of the U.S. Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA) and beyond by building deep learning neural networks for advanced Electro-Optical (EO/IR) image processing. Rocket Lab Optical Systems solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance challenges for Department of Defense and Intelligence Community customers. Our vision is to revolutionize the space-based payload market with innovative and novel designs for space, terrestrial, and airborne environments. Building on more than 20 years of electro-optical and infrared systems innovation from Geost, Rocket Lab Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.

Requirements

Bachelor's degree and 8+ years of experience, master’s degree or a Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or related field
Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment
Experience in building deep learning neural network for computer vision, image processing, or video analysis (e.g., object detection, image segmentation, and tracking)
Strong math background, particularly linear algebra
Proficiency in Python
Experience with deep learning libraries (Keras, TensorFlow, Pytorch, etc)
Software engineering fundamentals: version control, testing, CI/CD, containerization
U.S. citizenship is required, due to program requirements
Ability to obtain and maintain an U.S. Government Security Clearance

Nice To Haves

Proficiency in C/C++/Rust
Experience curating quality, real-world datasets for training deep learning models
TS/SCI security clearance

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