Machine Learning Engineer

CoVar

• $110K — $130K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proficient in Python and its libraries (NumPy, pandas); familiar with git, PyTorch or TensorFlow.
  • Strong grasp of machine learning fundamentals like gradient descent and ROC curves.
  • Experience with classical machine learning techniques such as support-vector machines and logistic regression.
  • Knowledge in advanced fields, particularly computer vision or natural language processing.
  • Bachelor's degree required; Master's or Ph.D. preferred in engineering, math, computer science, or similar.
  • Excellent technical communication skills essential for client presentations.
  • Must be able to work in Durham, NC; relocation assistance provided.

Responsibilities

  • Develop software and machine learning algorithms to address practical customer challenges.
  • Analyze data and develop machine learning models, evaluating their performance against real-world use cases.
  • Write production-level code for deployment in real-world systems.
  • Present algorithm developments and findings to clients, including high-level stakeholders in the DoD.
  • Collaborate on novel research projects with opportunities for publication in various settings.

Benefits

  • Competitive salary with opportunities for cash bonuses and an equity structure.
  • Comprehensive health care coverage, including dental and vision.
  • Paid parental leave and support for work-life balance.
  • Short-term and long-term disability insurance provided.
  • Life insurance options available.
  • Flexible work schedule to promote work-life integration.
  • Tuition support for continuing education and professional development.
  • Paid time off (PTO) and recognized paid holidays.
Full Job Description
Machine Learning Engineer

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

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