✨ About The Role
- The role involves proposing and prototyping innovative solutions to address complex challenges in defense technology.
- The engineer will curate datasets for evaluating performance and tracking trends over time.
- Developing and maintaining core machine learning pipelines is a key responsibility of this position.
- The job includes training and deploying deep learned models for real-time applications.
- The candidate will work closely with the Vehicle Autonomy (Robotics) team to create a powerful robotics stack.
- Collaboration with teams specializing in perception, autonomy, and manufacturing is essential to solve difficult problems.
- The position offers the opportunity to work on cutting-edge autonomy, AI, and computer vision technologies.
- The engineer will be expected to contribute to the development of aerial and ground-based robotic systems.
âš¡ Requirements
- The ideal candidate will have a Bachelor's degree in Computer Science, Machine Learning, Electrical Engineering, or a related field.
- A minimum of 3 years of experience developing and benchmarking machine learning algorithms on large-scale datasets is essential.
- Proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow is required for success in this role.
- Experience with OpenCV and deploying models with TensorRT and ONNX will be beneficial.
- The candidate should have a strong background in computer vision techniques, including object detection and tracking.
- Familiarity with visual odometry, SLAM, and sensor fusion will be advantageous for this position.
- The successful applicant will be comfortable working in a collaborative environment, coordinating with specialist teams.
- A passion for applying the latest research in machine learning and computer vision to solve real-world problems is crucial.