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Machine Learning Engineer

CoVar · Durham, NC · Active · Greenhouse

Job facts

FieldValue
CompanyCoVar
TitleMachine Learning Engineer
Normalized title-
Department / teamEngineering
LocationDurham, NC, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-02 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from CoVar.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Durham.Open
Department jobsActive postings in Engineering.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCoVar
Sourcea6dc2b60-ae76-47db-ab4b-e2d7f9e36662
ATS providerGreenhouse

Description

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC, 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 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

Full job record

Job ID2122fbedd343de4a8bb0514786ca46c8fad6de15
Org ID84a93fd0-4862-4d03-b591-85db4db76fe5
Source IDa6dc2b60-ae76-47db-ab4b-e2d7f9e36662
Board IDa6dc2b60-ae76-47db-ab4b-e2d7f9e36662
Providergreenhouse
Provider Job Key5097883007
TitleMachine Learning Engineer
Normalized Title
Statusactive
Activeyes
Location TextDurham, NC
DepartmentEngineering
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionNC
CityDurham
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/covar/jobs/5097883007
Apply URLhttps://job-boards.greenhouse.io/covar/jobs/5097883007
First Seen At2026-05-29 22:42:18Z
Last Seen At2026-06-23 07:36:47Z
Last Checked At2026-06-23 07:36:47Z
Last Changed At2026-05-29 22:42:18Z
Inactive At
Source Posted At2026-04-02 14:01:29Z
Source Updated At2026-04-17 05:00:33Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=covar/date=2026-06-23/2026-06-23T07-36-46-957Z-6d53f5449b0192c4c14f6f8408b944286c2f2e2f1f2f352af84fd63e608ee3fb.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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