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HomeCompaniesKitwareMachine Learning Engineer

Machine Learning Engineer

Kitware · Arlington, Virginia · On Site · Active · $110,000–$160,000 / year · Lever

Job facts

FieldValue
CompanyKitware
TitleMachine Learning Engineer
Normalized title-
Department / teamTechnical / Computer Vision
LocationArlington, VA, United States
Work modelOn Site
Employment typeFull Time
Salary$110,000–$160,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-02-09 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Kitware.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Arlington.Open
Department jobsActive postings in Technical.Open
Work model jobsActive On Site postings.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

CompanyKitware
Sourcea830082b-088e-4993-b0c6-5c5b675c5bc8
ATS providerLever

Description

Team Description: Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our solutions embracing AI add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We have developed a deep understanding in extracting useful, actionable information from multiple data sources like images, video, metadata, audio, and text, and we recognize the need for robust, affordable solutions. We seek to advance AI, CV, and other related fields through research and development and collaborative projects that can contribute to our open source software platforms, such as XAITK, NRTK, and GeoWATCH. About the Projects: Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions. Company Description: Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others. Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified™. Additional Information: Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. For more information on our benefit offerings please visit: https://www.kitware.com/careers/. Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees. If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at [email protected] at any time during the hiring process. In This Position You Will: Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision Perform rapid prototyping and enhanced development to be integrated into operational systems Contribute your strong programming ability and experience to develop robust solutions for real-world problems Validate, optimize, and deploy advanced exploitation algorithms Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness Required Qualifications: Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field Proficiency in Python Experience with deep learning libraries (PyTorch, TensorFlow, etc.) Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment Machine learning experience using visual data Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural Language Processing A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems Due to contractual requirements, only US Citizens will be considered for this position If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance Some travel is required, typically 5-25% Willingness to work 2-5 days a week on-site in a National Capital Region area government office, with the remainder of time in Kitware's office Preferred Qualifications: Active SECRET, TS, or TS/SCI security clearance Experience curating quality, real-world datasets for training deep learning models Proficiency in C++

Full job record

Job ID06c4a9c307aa1e5c1c6d5c0a747a180ada8a8c95
Org ID89fc096e-d95b-44a3-bd8b-75a83e49ae92
Source IDa830082b-088e-4993-b0c6-5c5b675c5bc8
Board IDa830082b-088e-4993-b0c6-5c5b675c5bc8
Providerlever
Provider Job Key131535ab-7059-448c-bf96-0b2137008f57
TitleMachine Learning Engineer
Normalized Title
Statusactive
Activeyes
Location TextArlington, Virginia
DepartmentTechnical
TeamComputer Vision
Employment TypeFull Time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionVA
CityArlington
Salary RawUSD 110000-160000 per-year-salary
Salary Min110,000
Salary Max160,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/kitware/131535ab-7059-448c-bf96-0b2137008f57
Apply URLhttps://jobs.lever.co/kitware/131535ab-7059-448c-bf96-0b2137008f57/apply
First Seen At2026-05-29 07:05:24Z
Last Seen At2026-06-06 07:56:47Z
Last Checked At2026-06-06 07:56:47Z
Last Changed At2026-05-29 07:05:24Z
Inactive At
Source Posted At2026-02-09 12:17:09Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=kitware/date=2026-06-06/2026-06-06T07-56-47-025Z-32e71cb2e4c90fee525e615beb1df0b1599cc593c724b21c7f6cdcb65c8381a5.json
Event Fields
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Extensions
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