Machine Learning Engineer

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms. MORSE’s AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE’s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments., * Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.

• Use MLOps tools for efficient experiment tracking, data management, and reproducibility

• Write robust, efficient, and maintainable code

• Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE

• Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models

• US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance

• Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field

• Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models

• Proven experience testing and validating the performance of AI technologies in real-world applications

• Proficiency in Python

• Experience with cloud platforms (AWS and Azure)

• Experience with Docker

• Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc.

• Exceptional communication skills and the ability to work well with customers

• Understanding of Department of Defense requirements and standards is a plus

MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.