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Machine Learning Engineer

CoVar
Posted 6 months ago, valid for 13 days
Location

McLean, VA 22107, US

Salary

Competitive

Contract type

Full Time

By applying, a CoVar account will be created for you. CoVar's Privacy Policy and Terms & Conditions will apply.

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Sonic Summary

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  • CoVar, a small AI/ML R&D software company located in Durham, NC and McLean, VA, is seeking a Machine Learning Engineer with a competitive salary and a focus on solving real-world problems using artificial intelligence.
  • The ideal candidate should have a minimum of 3 years of experience in software development and machine learning, particularly with expertise in Python and frameworks like PyTorch or TensorFlow.
  • Applicants must possess a deep understanding of machine learning fundamentals and be familiar with computer vision algorithms, with previous experience working with DoD customers being a plus.
  • The position offers opportunities to present work to high-level customers, publish research, and participate in innovative projects within the defense and biomedical sectors.
  • CoVar provides benefits such as cash bonuses, equity, 401k contributions, and excellent health care coverage, along with a flexible work schedule and tuition support.

Machine Learning Engineer

About CoVar

CoVar is a small AI/ML R&D software company with offices in Durham, NC and McLean, VA, 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 McLean, VA (relocation assistance available)
  • Eligibility for US security clearance (US citizenship is required)

Bonus skills

  • Department of Defense project experience
  • Active TS/SCI clearance

Benefits

  • Competitive salary, cash bonus, equity structure, and 401k with employer contributions
  • Excellent health care coverage, including dental and vision plans
  • Flexible work schedule
  • Tuition support

Visit us: www.covar.com




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By applying, a CoVar account will be created for you. CoVar's Privacy Policy and Terms & Conditions will apply.

SonicJobs' Terms & Conditions and Privacy Policy also apply.