Senior ML Engineer - Space Optics & CV

Rocket Lab

Tucson (AZ)

On-site

USD 140,000 - 180,000

Full time

4 days ago
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Job summary

Rocket Lab's Optical Systems division seeks a Senior Machine Learning Engineer II to design, train, and deploy deep learning models for electro-optical image processing at our Tucson site. You will build pipelines for data ingestion, feature engineering, and inference, collaborating with researchers and engineers on AI, ML, and computer vision tasks.

Requirements include a strong ML background, Python proficiency, experience with Keras/TensorFlow/PyTorch, and the ability to obtain a US

Qualifications

  • Bachelor's degree and 8+ years experience in CS/engineering or higher degrees.
  • Experience building deep learning models for computer vision or image processing.
  • Proficiency in Python and ML libraries (Keras, TensorFlow, PyTorch).
  • US citizenship and ability to obtain US government security clearance.

Responsibilities

  • Develop ML models for EO/IR image processing.
  • Train, deploy and maintain ML models for Optical Systems applications.
  • Build ML pipelines for data ingestion, feature engineering, training and inference.
  • Collaborate with researchers and engineers on AI, ML and computer vision.
  • Perform rapid prototyping and integration into operational systems.
  • Troubleshoot and maintain existing and new systems.
  • Stay current with ML research and evaluate new tools and techniques.

Skills

Python
Machine learning
Deep learning
CI/CD
Version control
Testing
Containerization
Security clearance

Education

Bachelor's degree in CS/engineering
Master's degree in related field
Ph.D. in related field

Tools

Keras
TensorFlow
PyTorch

Job description

Rocket Lab's Optical Systems division seeks a Senior Machine Learning Engineer II to design, train, and deploy deep learning models for electro-optical image processing at our Tucson site. You will build pipelines for data ingestion, feature engineering, and inference, collaborating with researchers and engineers on AI, ML, and computer vision tasks.

Requirements include a strong ML background, Python proficiency, experience with Keras/TensorFlow/PyTorch, and the ability to obtain a US

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