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Remote Ibm Quantum Machine Learning Jobs in Ohio

Experience : * 4+ years of professional experience in machine learning, with a focus on ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

Location Remote in Europe. Albatross At Albatross, we're building the second pillar of AI: a ... Design and implement machine learning models for ranking, recommendation, and personalization ...

This position will support development of a data architecture and machine learning experimentation ... This role is based in Dayton, Ohio with the possibility of remote work. Requirements U.S.

Senior AI/ML Engineer

New Bremen, OH · On-site +1

$108.40K - $148.90K/yr

Implement, test, and maintain machine learning models and data‐driven features in production ... remote work, including optional WeWork access Equal Opportunity At Deel, we're an ...

... and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning ...

... and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role Rackner is seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced machine learning ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

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Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

Posted 7 days ago


Job description

We are seeking an experienced TS/SCI cleared Remote Sensing Scientist / Physicistwith a deep understanding of the mathematics/geometry of sensor homography / image stitching. The ideal candidate will have photogrammetry skills and a background with remote sensing principles and sensor/target phenomenology or spectral phenomenology and algorithm development experience across a broad spectral range from visible to thermal. If your strength lies in domain image processing and data/scene exploitation and you want to work on a compelling project that has to do with enabling next-generation capabilities for national defense, specifically to help shape the future of airborne and space-based surveillance, this position will place you at the cutting edge.You will support a large R&D program that is focused on providing advanced intelligence capabilities for the benefit of the DoD and IC communities.

You will be part of a very high visibility project on a mid-sized team where you will work with seasoned scientists and developers, creating solutions to complex problems within a collaborative team environment.ResponsibilitiesDevelop and apply advanced models for sensor homography, image stitching, and geometric alignment of multi-sensor and/or multi-modal imageryAnalyze remote sensing data using domain-specific knowledge of sensor and target phenomenology (OPIR, EO, MSI, etc)Implement computer vision and image processing techniques for large-scale scene exploitationSupport development and analysis of persistent collection systems and architecturesConduct technical studies involving focal plane array characteristics, such as quantum efficiency, flux density, pixel crosstalk, and noise modelingUtilize Python and/or MATLAB for prototyping, algorithm development, and data analysis to write scientific code for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculationsCollaborate on multidisciplinary R&D efforts and contribute to technical strategy developmentRequired Must Have SkillsIn-depth understanding of mathematical principles behind image registration, sensor fusion, and geometric modelingStrong grasp of scientific focal plane array (FPA) concepts, including quantum efficiency, crosstalk, pixel sensitivity, and flux behaviorFamiliarity with persistent collection systems, their design considerations, and operational implicationsDemonstrated expertise in domain-specific remote sensing, including sensor/target interactionsProficiency in both Python and MATLAB and for scientific computing and algorithm developmentExperience developing or optimizing algorithms for deployment in operational environmentsActive TS/SCI clearance with CI Scope PolygraphExperience designing and deploying computer vision algorithms in remote sensing workflowsKnowledge of spectral imaging, radiometric calibration, or sensor characterizationWorking familiarity with AI/ML techniques applied to spatial or temporal imageryRecord of published work or conference presentations in the fields of remote sensing or sensor modelingExperience transitioning algorithms from prototype to deployed system in defense or ISR environmentsQualifications (education/experience substitutions are allowed)Mid-level candidates must have a B.A./B.S. and 4 years of experienceSenior level candidates must have a B.A./B.S. and 10 years of experienceSME level candidates must have a M.A./M.S.

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