Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Candidates should possess a Bachelor’s degree, preferably a Master’s or Ph.D., in engineering, math, computer science, or a related field. They must have expertise in Python, including NumPy, pandas, and other relevant packages, along with familiarity with PyTorch or TensorFlow. Applicants should demonstrate a deep understanding of machine learning fundamentals, such as gradient descent and cross-validation, and ideally have knowledge of classical machine learning techniques and computer vision algorithms. Furthermore, they must be eligible for a US security clearance and be a US citizen, and be located in Durham, NC.
The Machine Learning Engineer will help CoVar develop software and machine learning algorithms to solve real-world customer problems, working with data, developing algorithms, evaluating results, and writing production code. They will have the opportunity to present their work to high-level customers, potentially in the DoD and industry, and may have opportunities to publish novel work in both classified and unclassified settings.
Develops AI solutions for critical industries
CoVar creates machine learning and artificial intelligence solutions tailored to complex challenges in defense, healthcare, and industrial sectors. The company develops customized algorithms, such as the Adaptive Alarms software for monitoring safety in drilling operations, which helps prevent disasters. CoVar stands out by focusing on understanding each client's unique challenges and providing tailored software solutions that enhance performance and safety. The goal is to be a trusted partner by delivering reliable software that meets specific needs.