Machine Learning Engineer
Job Description
- Build and optimize the use of deployed models within the context of the software application
- Create new features within the software application that leverage machine learning to meet user needs
- Work across various engineering teams to integrate and leverage machine learning capabilities
- Manage real and/or create synthetic data sets where necessary for training and testing purposes
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Minimum of 5 years of relevant work experience in software development focused on machine learning and advanced data analytics
- Minimum of 3 years of experience using machine learning, analytic, and computation frameworks and libraries (numpy, scipy, scikitlearn, tensorflow, pytorch, etc.)
- Minimum of 3 years hands on coding experience, specifically within Python
- An active DoD clearance (Secret or above)
- Experience with production-level machine learning model deployment and management and scaling
- Exposure to Agile environments and processes
- Embedding development or embedding/latent space exploration work
- Custom deep learning network design, implementation and testing
- Prior work in network traffic analysis, intrusion detection, user behavior, etc.
Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law.
If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to [email protected]. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
Additionally, please be advised that this business uses E-Verify in its hiring practices.
EOE, including disability/vets.
By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.
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Date Posted
05/06/2023
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