Full-Time

Machine Learning Engineer

Confirmed live in the last 24 hours

CoVar

CoVar

11-50 employees

Develops AI solutions for critical industries

Industrial & Manufacturing
AI & Machine Learning
Defense
Healthcare

Mid, Senior

No H1B Sponsorship

Durham, NC, USA

Relocation assistance available.

US Citizenship, US Top Secret Clearance Required

Category
Applied Machine Learning
Computer Vision
AI & Machine Learning
Required Skills
Python
Tensorflow
Pytorch
Machine Learning
Pandas
NumPy
Computer Vision

You match the following CoVar's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Expertise in Python (including NumPy, pandas, and other packages)
  • Experience with either PyTorch or TensorFlow
  • Deep understanding of machine learning fundamentals (gradient descent, cross-validation, ROC curves, confusion matrices)
  • 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
  • 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)
Responsibilities
  • Help develop software and machine learning algorithms to solve real-world customer problems
  • Work with data, develop algorithms, evaluate results, and write production code that goes onto real-world systems
  • Present work to high-level customers in the DoD and in the industry
  • Publish novel work in both classified and unclassified settings
Desired Qualifications
  • Department of Defense project experience

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, which monitors safety systems in drilling operations to prevent disasters. CoVar stands out by thoroughly understanding each client's unique challenges, allowing it to deliver specialized software that enhances performance and safety. The goal is to be a trusted partner by providing advanced and reliable software solutions.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

McLean, Virginia

Founded

2011

Simplify Jobs

Simplify's Take

What believers are saying

  • CoVar's DARPA contract positions it as a leader in ethical AI development.
  • Growing demand for AI in defense and healthcare boosts CoVar's market potential.
  • AI explainability advancements increase trust in CoVar's high-stakes industry solutions.

What critics are saying

  • Emerging AI startups offering cheaper solutions threaten CoVar's market share.
  • Rapid AI advancements may render CoVar's solutions obsolete without quick innovation.
  • Dependence on large contracts like DARPA poses risks if not renewed or funded.

What makes CoVar unique

  • CoVar specializes in customized AI/ML solutions for defense, healthcare, and industrial sectors.
  • The company partners with industry giants like Shell and Pason for mission-critical software.
  • CoVar's Adaptive Alarms software enhances safety in offshore and land drilling operations.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Flexible Work Hours

Tuition Reimbursement

Company News

PR Newswire
Dec 20th, 2024
Covar Awarded Darpa Contract To Define Ethical Standards For Future Autonomous Systems

MCLEAN, Va., Dec. 20, 2024 /PRNewswire/ -- CoVar, a leading developer of AI and machine learning solutions for the Department of Defense, has been awarded a multi-year contract with the Defense Advanced Research Projects Agency (DARPA) to support the Autonomy Standards and Ideals with Military Operational Values (ASIMOV) program. The goal of the program is to establish a framework that quantitatively measures the ethical readiness of autonomous systems, a crucial step as these systems gain widespread adoption across military and civilian sectors