Machine Learning Engineer
Durham, NC
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary.
- Ability to work in Durham, NC (relocation assistance available)
- Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued.
Qualification wording
Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus.
Ability to work in Durham, NC (relocation assistance available)
Education & alternatives
- AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc. - B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field - Excellent technical communication skills
Tools in this posting
- Python
- NumPy
- pandas
- PyTorch
- TensorFlow
Source — Tool mentions in context
Qualifications Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus. Minimum qualifications
Minimum qualifications - Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing. - AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
Benefits in the posting
Full benefits wording- Competitive salary, cash bonus, equity structure, and 401k with employer contributions
- Excellent health care coverage, including dental and vision plans
- Parental leave
- Short-term and long-term disability insurance
- Life insurance
- Flexible work schedule
- Tuition support
- PTO and paid holidays
From the employer’s posting.
About CoVar
CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter.
In the employer’s words · Read in context
Job description
Machine Learning Engineer
About CoVar
CoVar is a small AI/ML R&D software company in Durham, NC, that uses artificial intelligence to solve problems that matter. We develop AI/ML tools to help the DoD detect enemies and threats, help biomedical researchers find new cures for diseases, and help monitor machinery to prevent injuries and environmental catastrophes. We are passionate engineers, dedicated to pushing the bounds of what AI/ML can do in the real world.
About this position
You will help CoVar develop software and machine learning algorithms to solve real-world customer problems. You will work with data, develop algorithms, evaluate results, and write the production code that goes onto real-world systems. You will have the opportunity to present your work to high-level customers in the DoD and in the industry. The position includes opportunities to publish novel work in both classified and unclassified settings.
Qualifications
Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices) are necessary. Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression) are valued. Applicants are ideally familiar with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques. Previous experience with DoD customers is a plus.
Minimum qualifications
- Software expertise: Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
- AI/ML expertise: Machine learning fundamentals; Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural language processing, classical machine learning, Bayesian models, etc.
- B.S., preferably M.S. or Ph.D in engineering, math, computer science, or related field
- Excellent technical communication skills
- Ability to work in Durham, NC (relocation assistance available)
- Eligibility for US security clearance (US citizenship is required)
Bonus skills
- Department of Defense project experience
- Active US security clearance (secret or higher)
Benefits
- Competitive salary, cash bonus, equity structure, and 401k with employer contributions
- Excellent health care coverage, including dental and vision plans
- Parental leave
- Short-term and long-term disability insurance
- Life insurance
- Flexible work schedule
- Tuition support
- PTO and paid holidays
Visit us: www.covar.com
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Durham, NC
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Ability to work in Durham, NC (relocation assistance available) - Eligibility for US security clearance (US citizenship is required) Bonus skills
More source context
- Department of Defense project experience - Active US security clearance (secret or higher) Benefits
- Status in our records
- Active
- First seen by us
- Apr 14, 2026
- Recorded sightings
- 108
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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