AI/ML Engineer

2 weeks ago


Reston, Virginia, United States Scout Space Full time
Job Title: AI/ML Engineer

Scout Space is seeking a highly skilled AI/ML Engineer to join our team. As a key member of our engineering team, you will play a crucial role in designing and implementing advanced algorithms supporting spacecraft autonomy and space object detection, tracking, and classification from optical payloads.

Responsibilities:
  • Design and implement machine learning models and algorithms for computer vision tasks, including object detection, image classification, and segmentation.
  • Train and fine-tune convolutional neural networks (CNNs) using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Research and implement machine learning models for autonomous systems with a focus on monitoring system health and planning future maneuvers to achieve prioritized objectives.
  • Collaborate with domain experts to collect and preprocess data for training and evaluation of ML models, ensuring data quality and integrity.
  • Conduct comprehensive literature reviews to stay abreast of the latest advancements in AI/ML, computer vision, and predictive maintenance, and apply state-of-the-art techniques to enhance the company's solutions.
  • Conduct performance evaluation and optimization of ML algorithms to meet accuracy, latency, and scalability requirements.
Requirements:
  • Must be eligible to hold a clearance.
  • Experience training and deploying predictive maintenance models OR experience with machine learning enabled autonomous systems is REQUIRED.
  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • Strong proficiency in Python programming and deep learning libraries such as TensorFlow, PyTorch, or Keras.
  • Familiarity with predictive maintenance techniques, time series analysis, and anomaly detection algorithms.
  • Excellent problem-solving skills, analytical thinking, and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Preferred Qualifications:
  • 5+ years experience.
  • Master's or PhD degree in Computer Science, Artificial Intelligence, or related field.
  • Experience with training and deploying networks trained on synthetic datasets and demonstrated understanding of techniques to bridge the domain gap to work with real datasets.
  • Experience with edge computing and deploying ML models to resource-constrained environments.
  • Hands-on experience with computer vision frameworks and tools such as OpenCV.
  • Hands on experience with autonomous systems.
  • Fundamental understanding of space systems, orbital dynamics, and spacecraft operations.

Scout Space is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and diverse work environment that reflects the communities we serve. If you are passionate about AI/ML and space technology, and want to be part of a dynamic team, please apply today


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