Machine Learning Engineer
Employment type
Full-time
Work setting
On-site
Location
Raleigh, NC
Schedule
Day shift
Posted
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Job overview
The Machine Learning Engineer role is onsite in Raleigh, NC. Compensation is not specified. Vadum develops practical innovations for customers in national defense research and development. The engineer designs and develops machine-learning prototypes and contributes to concept design and analysis. The work supports customer projects through algorithm development, data analysis, software and data deliverables, research, and collaboration with engineering teams.
What you'll do
- Design, prototype, and implement machine-learning algorithms
- process, transform, visualize, and analyze data
- collaborate with machine-learning and software engineers on software and data deliverables
- participate in project scoping and scheduling
- track tasks and raise blockers
- contribute to proposal solution concepts
- prepare customer status-meeting content
- research state-of-the-art methods
- interact with customers and suppliers
- perform other duties within the position’s scope.
What we're looking for
- Skills & competencies
- machine learning engineermachine learningpythonc/c++matlabpytorchtensorflowdata analysisnational defense r&dgovernment clearanceraleigh ncvadum incsoftware engineering
- Work arrangement
- Weekend coverage required
Benefits & perks
- The posting mentions competitive benefits, a collaborative work environment, and opportunities for professional growth.
Why this role
The role requires a government security clearance or the ability to obtain and maintain one, and calls for experience with Python, C/C++, MATLAB, or similar languages and machine-learning frameworks.
About the employer
Vadum Inc is hiring for this role. Industry: Research and Development in the Social Sciences and Humanities. Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Research and Development in the Social Sciences and Humanities
- Occupation code
- 15-2051.00
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Listing ID: f387978b-3fc8-4b81-87ae-26a8b2935751