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Senior Electrical Engineer (Renewables)
WSP
Cottonwood Heights, UT · Billings, MT · Houston, TX · Boulder, CO · Cincinnati, OH · Boise, ID
WSP is currently initiating a search for a Senior Electrical Engineer (Renewables) to join our Power & Energy team in Cottonwood Heights, UT. The following location will also be considered:…
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MORSE Corp

Machine Learning Engineer

Seattle, WA, United States
Cambridge, MA, United States

$90,000 - $210,000 USD

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Job details

Pay: $90,000 - $210,000 USD
Posting language: English
Posted: Aug 6, 2026

Original job description

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:

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’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 - $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 with an emphasis on exceptionalism and delivering mission-critical impact to our customers. For more information, please visit www.morsecorp.com.

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