Full-Time

Machine Learning Engineer

Posted on 2/16/2026

CoVar

CoVar

11-50 employees

Custom AI/ML solutions for mission-critical sectors

No salary listed

Durham, NC, USA

In Person

Relocation assistance available; must work on-site in Durham, NC.

Category
AI & Machine Learning (2)
,
Required Skills
Python
Software Testing
Tensorflow
Git
Pytorch
Machine Learning
Pandas
NumPy
DevOps
Computer Vision
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)
Responsibilities
  • 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 your work to high-level customers in the DoD and in the industry.
  • Position includes opportunities to publish novel work in both classified and unclassified settings.
Desired Qualifications
  • Bonus skills: Department of Defense project experience

CoVar develops customized machine learning and AI software for defense, healthcare, and industrial sectors. Its solutions are mission-critical systems built to operate reliably on high-stakes tasks, such as monitoring safety systems in drilling operations. The company starts by understanding a client’s unique challenges and then uses its team of technologists to apply AI and ML techniques to create tailored software and services. For example, its Adaptive Alarms software, developed with partners like Shell and Pason, uses advanced algorithms to prevent disasters on offshore and land drilling rigs, protecting workers and the environment. CoVar differentiates itself by delivering specialized, high-value, robust software rather than generic tools, emphasizing reliability and safety in demanding environments. The company’s goal is to be a trusted partner that helps large organizations improve performance, safety, and operational capabilities through customized AI 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

  • DARPA Direct-to-Phase II SBIR contract accelerates VectoredAI human-AI teaming development.
  • Partnership with Dr. Jim Neidhoefer enhances VectoredAI using statistical subjective quantification.
  • Largest labeled oil-gas drilling imagery collection bolsters industrial AI training data.

What critics are saying

  • DARPA FY2026 cuts terminate PPADM-ASIMOV, slashing 70% defense revenue in 12-18 months.
  • Palantir AIP undercuts CoVar on Shell sensor contracts with faster deployment in 6-12 months.
  • OpenAI o1 outperforms VectoredAI, pivoting DARPA funding and obsoleting tech in 12-24 months.

What makes CoVar unique

  • CoVar develops VectoredAI aligning AI with decision-makers' personalities for DARPA PPADM.
  • CoVar's GEARS software tests ethical AI dilemmas under DARPA ASIMOV program.
  • CoVar's ROBOKOP integrates 30 biomedical sources into natural-language search engine.

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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
Apr 9th, 2026
CoVar wins DARPA contract to develop AI that adapts to human decision-makers' personalities

CoVar, a US Department of Defence AI specialist, has been awarded a Direct-to-Phase II SBIR contract by DARPA for its Predictive Psychological Architectures for Decision-Making programme. The contract supports development of VectoredAI, a dynamic human-AI teaming model that uses probabilistic key decision-maker attributes and latent semantic steering to align AI solutions with critical decision-makers' personalities. The PPADM programme aims to improve understanding of how individual characteristics influence decision-making behaviour, particularly in high-uncertainty, time-constrained scenarios where decision-makers disagree or have conflicting values. CoVar is partnering with Dr Jim Neidhoefer, combining CoVar's GEARS software with Neidhoefer's statistical methods for quantifying subjective factors. The award continues CoVar's work building trusted AI solutions for mission-critical defence systems.

The Bulletin
Apr 9th, 2026
CoVar awarded Direct-to-Phase II DARPA SBIR contract for Predictive Psychological Architectures for Decision-Making (PPADM).

CoVar awarded Direct-to-Phase II DARPA SBIR contract for Predictive Psychological Architectures for Decision-Making (PPADM). PR Newswire Today at 9:05am PDT MCLEAN, Va., April 9, 2026 /PRNewswire/ - CoVar, a small business specializing in advanced artificial intelligence and machine learning solutions for the U.S. Department of Defense, today announced it has been awarded a Direct-to-Phase II Small Business Innovation Research (SBIR) contract by the Defense Advanced Research Projects Agency (DARPA). The award supports a DARPA effort titled Predictive Psychological Architectures for Decision-Making (PPADM). The PPADM program aims to advance the scientific understanding of how individual decision-maker characteristics influence behavior, with the goal of improving both human and algorithmic decision-making, delegation, and trust. Focus will be placed on decision-making in difficult domains with high uncertainty, time and/or resource constrained scenarios, and circumstances in which decision-makers disagree or have conflicting values. CoVar will be responsible for developing VectoredAI, a dynamic human-AI teaming model that leverages probabilistic key decision-maker attributes (KDMAs) and latent semantic steering. VectoredAI is intended to provide a plug-in capability to help align AI solutions with personalities and considerations for critical decision makers. CoVar has teamed with Dr. Jim Neidhoefer to bring complimentary expertise in developing VectoredAI. CoVar's GEARS software, developed under DARPA's ASIMOV program, enables users to design world scenarios and evaluate dilemmas in terms of tensions and conflicts, supporting automated testing of both algorithmic and human decision making. Dr. Neidhoefer has developed statistical methods for quantifying and aggregating hard-to-measure subjective factors (like KDMAs) in addition to a methodology for aligning human and algorithmic decision making. "Barriers to AI adoption in mission critical and safety critical systems remains high due to lack of human trust," said Dr. Pete Torrione, CTO at CoVar. "Our proposed VectoredAI solution to PPADM will expand on what is already known about human decision making to identify key trust-building factors that reduce friction in human-AI interactions and humans' willingness to delegate difficult decisions to AI." The Direct-to-Phase II award represents CoVar's continued leadership in building trusted and responsible AI/ML solutions for the Department of Defense; ultimately leading to more rapid adoption of AI for mission critical systems. SOURCE CoVar This is a paid placement. For further inquiries, please contact PR Newswire directly.

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

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