Machine Learning Engineer
Core
Design and build machine learning algorithms and training pipelines to support data-driven outcomes for intelligent and autonomous systems, with an initial emphasis on advancing spacecraft autonomy.
Role type
Machine Learning Engineer (Autonomous Systems & Robotics)
Builds
Machine learning algorithms, training pipelines, and advanced ideas in AI for autonomous systems and mobile robotics.
Domain
Aerospace engineering, autonomous systems, mobile robotics
Deliverable
production ML models
Required skills
stochastic processes, statistical inference, optimal control theory, deep learning architectures (CNNs, RNNs, NLP, time-series), data preparation, model selection, training, validation, testing, Python, R, C++, PyTorch, TensorFlow
Preferred skills
generative techniques, data fusion, classification, verification and validation, optimization, computer vision, reinforcement learning
Technologies
PyTorch, TensorFlow, Python, R, C++, Computer Vision, Mobile, Robotics
Responsibilities
Conduct research and development, concept generation, and implementation of advanced ideas in AI, ML, autonomous systems, and mobile robotics; design and build ML algorithms and training pipelines; apply methods spanning generative techniques, data fusion, classification, verification and validation, optimization, computer vision, and reinforcement learning; contribute to diverse application areas with an initial emphasis on advancing spacecraft autonomy.
Seniority
Mid-level, hands-on IC
