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Job Description

Rocket Lab is hiring a Principal Machine Learning Engineer to support advanced EO/IR image processing efforts for Optical Systems in Chantilly, VA.

Responsibilities

  • Apply experience to develop solutions for real-world problems
  • Design, train, and deploy machine learning models for Optical Systems applications
  • Build and maintain machine learning pipelines covering data ingestion, feature engineering, training, and inference
  • Partner with researchers and engineers working across artificial intelligence, machine learning, and computer vision
  • Conduct rapid prototyping and enhanced development for integration into operational systems
  • Handle troubleshooting, bug fixes, and maintenance for existing and newly developed systems
  • Stay current with machine learning research and assess new tools, frameworks, and techniques

Requirements

  • Bachelor’s degree plus 12+ years of experience, or a master’s degree or Ph.D. in Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Physics, or a related field
  • Strong machine learning background across model selection, architecture, training, validation, testing, and deployment
  • Experience building deep learning neural networks for computer vision, image processing, or video analysis (object detection, image segmentation, and tracking)
  • Strong math foundation, especially linear algebra
  • Proficiency in Python
  • Experience with deep learning libraries including Keras, TensorFlow, and PyTorch
  • Software engineering fundamentals including version control, testing, CI/CD, and containerization
  • U.S. citizenship required due to program requirements
  • Ability to obtain and maintain a U.S. Government Security Clearance

Technologies

  • Python
  • Keras
  • TensorFlow
  • PyTorch

Location and Work Setting

  • Chantilly, VA
  • Onsite

Compensation

  • USD 198,900 - 318,200 per year

Security Clearance (Nice to Have)

  • TS/SCI security clearance

Additional Nice to Have

  • Proficiency in C/C++/Rust
  • Experience curating high-quality real-world datasets for training deep learning models

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