Machine Learning Engineer

CoVar • Durham, NC

6d • Onsite

About The 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.

Requirements

• 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)
• 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.

Nice To Haves

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level