Merlin Labs - Boston, MA
posted about 1 month ago
We are looking for a machine learning (ML) engineer interested in building ML and deep learning (DL) systems to increase autonomy in aviation. This role is ideal for someone who enjoys researching state-of-the-art ML and DL systems and finding ways to make them excel at unique use cases within the aviation sector. The successful candidate will work at the intersection of research and product development, contributing to innovative solutions that enhance the capabilities of autonomous systems. You will be part of a small team, where you will own a significant portion of one of our ML-based pipelines, allowing for a high degree of responsibility and impact on the project. In this position, you will be responsible for model development for various aviation-related applications that utilize systems such as natural language processing and computer vision. You will need to understand the use cases, research and select appropriate models, build and maintain training pipelines, and run experiments. Collaboration with the data team will be essential to source and manipulate data as needed to improve model performance. You will also track and document model performance and experiments, reporting key results to a wider audience to ensure transparency and knowledge sharing. Additionally, you will write inference pipelines to deploy models to autonomy systems on Merlin aircraft. Working with a larger project team, you will need to understand high-level requirements that impact the needs of the ML system. Your contributions will generally support Merlin's autonomous systems research and development by following our software and model development process and writing software to integrate your work into the larger system.