Machine Learning Engineer

MORSE Corp • Cambridge, MA

1d • $90,000 - $210,000

About The Position

MORSE Corp is an employee-owned small business with locations in Cambridge, Massachusetts; Arlington, Virginia; and Seattle, Washington. The company delivers technical solutions to multidisciplinary problems faced by the US National Security Ecosystem.

MORSE is seeking a Machine Learning Engineer to design, implement, and manage complex machine-learning algorithms and systems, with a focus on computer vision and other data types. The role includes acquiring truth data, integrating, testing, and combining algorithms, reviewing research literature, analyzing field-test data, and developing advanced algorithms. MORSE’s AI and ML work spans multiple modalities; experience or interest in large language models, audio analysis, computer vision, and advanced reasoning is a plus.

The engineer will collaborate with the current team to transition algorithms into production environments, which may include on-premises servers, cloud platforms, or real-time embedded systems. The team works to help US National Security customers use natural-language-processing capabilities in mission-critical environments.

Requirements

• US citizenship and the ability to obtain a U.S. security clearance.
• A master's or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or a related field.
• Proven experience applying computer-vision models, techniques, frameworks, and libraries to implement and fine-tune models.
• Proven experience testing and validating AI technology performance in real-world applications.
• Proficiency in Python.
• Experience with cloud platforms such as AWS and Azure.
• Experience with Docker.
• Experience with MLOps tools such as Airflow, MLflow, or AimStack.
• Exceptional communication skills and the ability to work well with customers.

Nice To Haves

• Experience or interest in large language models, audio analysis, computer vision, and advanced reasoning.
• Understanding of Department of Defense requirements and standards.

Responsibilities

• Develop, fine-tune, train, and optimize computer-vision algorithms for tasks such as object detection and tracking.
• Use MLOps tools to support efficient experiment tracking, data management, and reproducibility.
• Write robust, efficient, and maintainable code.
• Track the latest machine-learning research and bring new techniques and methodologies to MORSE.
• Conduct experiments and rigorously evaluate the effectiveness and efficiency of computer-vision models.
• Acquire truth data; integrate, test, and combine algorithms; analyze field-test data; and develop advanced algorithms.
• Work with the engineering team to transition algorithms to production on on-premises servers, cloud platforms, or real-time embedded systems.

Benefits

• 401(k) match, depending on role eligibility.
• Paid time off, depending on role eligibility.
• Medical, dental, vision, and life insurance, depending on role eligibility.
• Bonus and stock may be included in total compensation, depending on role eligibility.
• 10 paid holidays per year.
• Open leave policy for exempt, regular full-time employees; the policy does not set a specific number of paid sick or vacation days and is not an unlimited paid leave policy.

What This Job Offers

• Job Type: Full-time