AI/ML Engineer (Predictive Maintenance or Autonomy Expertise REQUIRED)

Scout is building a new way to see and operate in space: with a new paradigm of data empowering every satellite to make space safer. We are a rapidly-growing team; we are deploying real solutions to orbit; and our work will transform the face of spaceflight. We are looking for people that bring excitement and energy to our organization, are curious and eager to learn, and want to help drive our programs forward.

As an AI/ML Engineer, you will play a crucial role in the design and implementation of our advanced algorithms supporting spacecraft autonomy and space object detection, tracking, and classification from optical payloads. This position is dependent on a contract award.

Responsibilities:

Research, 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, design, 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

Required Qualifications:

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

Don't fulfill all the qualifications listed above? If you still feel like you might be a good fit, please feel free to APPLY ANYWAY. We believe in a well-rounded team, and this sometimes means that someone with out-of-context knowledge can contribute just as well as someone with very explicit alignment with our capabilities needs stated.

Our positions are based in the Reston, Virginia area, with much of our team operating in a hybrid or remote fashion. Our preference is for candidates in or around this area (or willing to relocate) as we scale our facilities and engineering team and provide more opportunities to work and collaborate in-person. Remote employees will be required to travel for onsite work and in-person meetings.

Scout Inc. does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. To conform to US Government space technology export regulations, applicants must be a US citizen, lawful permanent resident of the US, a protected individual as defined by 8 USC 1324b(a)(3), or eligible to obtain the required authorization from the US Department of State.

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