At a glanceSummarised by Seekless from the posting.
Must have7
Expertise in Python (including NumPy, pandas, and other packages)
Expertise in either PyTorch or TensorFlow
Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices)
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
Nice to have5
Knowledge of classical machine learning (e.g., support-vector-machines, logistic regression)
Familiarity with computer vision algorithms like object detection networks (e.g., YOLO, CenterNet) and modern image classification techniques
Previous experience with DoD customers
Department of Defense project experience
Active US security clearance (secret or higher)
Eligibility2
Ability to work in Durham, NC (relocation assistance available)
Eligibility for US security clearance (US citizenship is required)
Skills
Python
NumPy
pandas
PyTorch
TensorFlow
git
CI/CD
Benefits
401(k)
Health insurance
Dental insurance
Vision insurance
Parental leave
Disability insurance
Life insurance
Flexible schedule
Tuition reimbursement
PTO
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
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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