✨ About The Role
- The role involves leading ASR research, design, and development specifically for aviation applications, such as air traffic control communication.
- The engineer will be responsible for developing algorithms and models to improve speech recognition accuracy and reliability in noisy environments.
- Staying updated with the latest advancements in ASR technology is a key responsibility of this position.
- The engineer will collaborate with the larger NLP team to integrate the ASR system with downstream components.
- Understanding project requirements and concepts of operation (conops) for the ASR system is crucial for successful implementation.
- The position requires contributing to the natural language processing team by following software and model development processes.
- The engineer will be expected to learn about the aviation domain in which the ASR system will operate to ensure effective application of their work.
âš¡ Requirements
- The ideal candidate will have a strong background in automatic speech recognition (ASR) with at least 7 years of experience in designing and developing ASR systems.
- A bachelor's degree in Computer Science, Robotics, Natural Language Processing, or a related field is required, with a preference for candidates holding a master's or PhD.
- The successful candidate will be innovative and enjoy researching and implementing state-of-the-art ASR systems tailored for aviation applications.
- Strong fluency in Python and experience with frameworks like PyTorch or TensorFlow is essential for this role.
- The candidate should have experience in scaling systems to enhance performance in larger scopes and challenging environments.
- Effective communication skills are necessary to convey technical concepts clearly within a collaborative team environment.
- Familiarity with the aviation domain and the ability to learn quickly about the specific aviation applications of ASR systems will be beneficial.