Today
Top Secret/SCI
Mid Level Career (5+ yrs experience)
Occasional travel
Aerospace and Aviation
Tucson, AZ (On-Site/Office)•Chantilly, VA (On-Site/Office)
SENIOR MACHINE LEARNING ENGINEER I
Rocket Lab’s Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) 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, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.
As a Senior Machine Learning Engineer I based at our Optical Systems site in Tucson, AZ, or Chantilly, VA you will have the opportunity to collaborate with researchers on high-impact ML, AI, and computer vision projects. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and making an impact on the future of space!
WHAT YOU’LL GET TO DO:
Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision
Perform rapid prototyping and enhanced development to be integrated into operational systems
Contribute your strong programming ability and experience to develop robust solutions for real-world problems
Validate, optimize, and deploy advanced exploitation algorithms
Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness.
Perform other duties as assigned
Ability to support travel or off-site work, as needed
YOU’LL BRING THESE QUALIFICATIONS:
Bachelor’s degree in computer science, electrical or computer engineering, mechanical engineering, physics, or other field
5+ years of software experience
Active TS/SCI U.S. Government Security Clearance
Proficiency in Python
Experience with deep learning libraries (PyTorch, TensorFlow, etc.)
Strong background in both classical and modern (deep learning) machine learning including model selection, architecting, training, validation, testing, and deployment
Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Super Resolution
Ability to apply modern AI approaches to solve real-world problems
THESE QUALIFICATIONS WOULD BE NICE TO HAVE:
Machine learning experience with imagery or 3-D data
Master’s degree or PhD in computer science, electrical or computer engineering, mechanical engineering, physics, or other science or engineering field
Classical machine learning methods
Experience with AWS, docker, Agile development
Experience curating quality, real-world datasets for training deep learning models
Proficiency in C++, MATLAB
ADDITIONAL REQUIREMENTS:
Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus
Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally and in writing
Must be physically able to commute to buildings
Occasional exposure to dust, fumes and moderate levels of noise
Rocket Lab’s Optical Systems division solves mission-critical space domain and Intelligence, Surveillance, and Reconnaissance (ISR) challenges for Department of Defense (DoD) and Intelligence Community (IC) 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, Optical Systems delivers solutions to the warfighter for responsive, scalable sensing solutions across all orbital domains.
As a Senior Machine Learning Engineer I based at our Optical Systems site in Tucson, AZ, or Chantilly, VA you will have the opportunity to collaborate with researchers on high-impact ML, AI, and computer vision projects. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and making an impact on the future of space!
WHAT YOU’LL GET TO DO:
Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision
Perform rapid prototyping and enhanced development to be integrated into operational systems
Contribute your strong programming ability and experience to develop robust solutions for real-world problems
Validate, optimize, and deploy advanced exploitation algorithms
Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness.
Perform other duties as assigned
Ability to support travel or off-site work, as needed
YOU’LL BRING THESE QUALIFICATIONS:
Bachelor’s degree in computer science, electrical or computer engineering, mechanical engineering, physics, or other field
5+ years of software experience
Active TS/SCI U.S. Government Security Clearance
Proficiency in Python
Experience with deep learning libraries (PyTorch, TensorFlow, etc.)
Strong background in both classical and modern (deep learning) machine learning including model selection, architecting, training, validation, testing, and deployment
Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Super Resolution
Ability to apply modern AI approaches to solve real-world problems
THESE QUALIFICATIONS WOULD BE NICE TO HAVE:
Machine learning experience with imagery or 3-D data
Master’s degree or PhD in computer science, electrical or computer engineering, mechanical engineering, physics, or other science or engineering field
Classical machine learning methods
Experience with AWS, docker, Agile development
Experience curating quality, real-world datasets for training deep learning models
Proficiency in C++, MATLAB
ADDITIONAL REQUIREMENTS:
Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus
Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally and in writing
Must be physically able to commute to buildings
Occasional exposure to dust, fumes and moderate levels of noise
group id: 91093496
