
MORSE Corp specializes in user-centered algorithm development, software engineering, and system integration, primarily for the defense sector. With a strong foundation in Aerospace Engineering, the…

MORSE Corp specializes in user-centered algorithm development, software engineering, and system integration, primarily for the defense sector. With a strong foundation in Aerospace Engineering, the…
Sector: Defense and Space Manufacturing
Founded: 2014
Headquarters: Cambridge, MA
Employee-owned: Yes
Notable contract: $66.7M US Army contract (modernize data & software engineering)
Modernizing defense data and software engineering to improve operational capabilities and mission effectiveness.
2014
Defense and Space Manufacturing
Recorded support listed as non-equity assistance rather than traditional equity financing
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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.
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.
Responsibilities:
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
Skills and Requirements:
MORSE Corp’s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.Employees also receive 10 paid holidays per year. MORSE maintains an “open” leave policy that does not restrict exempt, regular full-time employees to a specific number of paid sick or vacation days. However, this policy is not an “unlimited” paid leave policy.
Compensation: $90,000 USD - $210,000 USD
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for our employees. Our team values work-life balance through flexibility and other programs, along with a comprehensive benefits package for employees and families. For more information, please visit www.morsecorp.com.
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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