Geotypical Production Analyst I jobs in United States
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Aechelon Technology Inc. · 5 months ago

Geotypical Production Analyst I

Aechelon Technology, Inc. is a leading producer of 3D simulator content, and they are seeking a Geotypical Production Analyst I to contribute to the production of visual databases using advanced GIS techniques. The role involves data collection, preprocessing, quality assurance, and collaboration with cross-functional teams to enhance the machine learning pipeline and support geotypical production.

Information TechnologySoftware
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Responsibilities

Ability to work independently with minimal supervision to execute both program and internal tasks within milestones and deadlines
Use of Machine Learning and ML Model Training:
Data Collection and Annotation: Collecting and annotating training data, ensuring it's clean, labeled correctly, and sufficient for model training. This would most likely be in the form of vector and/or raster data related to features
Data Preprocessing: Cleaning, normalizing, and preparing the data for model training, including handling missing values and outliers. This would be from the collection and analysis and would be passed back to the DAML team to update model for the featureGen tool
Quality Assurance: Conducting quality assurance checks on data and models to identify issues and ensure the reliability and accuracy of outputs
Feedback Loop Management: Establishing and maintaining feedback loops to incorporate insights from model performance and user feedback into iterative improvements of the machine learning pipeline - mainly from the use or interaction with the featureGen tool
Collaboration: Collaborating with cross-functional teams, such as the DAML team and Integration team(s)
Understanding of all Program Input (Spec Pointers, SME Input, Site Photo Surveys/other reference, Geospecific pointers, Maps & Charts, and other internal resources) as it relates to Geotypical production and QA processes
Production of “Area-of-Interest” and wide area feature population using advanced feature population processes/tools. Elements including but not limited to, powerlines, railroads, walls, highways, point trees, ML generated trees, building generation, rooftop clutter, vector bridges, and lightmaps
Feature processing and QA support/revisions for all Geotypical feature content
Resolve Geotypical production content DRs (discrepancy reports)
Geotypical Production support relating to internal tool development, testing, and research for potential 3rd party software options

Qualification

GIS operationsQGISESRI ArcGISMachine LearningData PreprocessingCygwin bash shellPerforceMicrosoft WindowsJiraConfluenceMicrosoft OfficeCollaborationCritical ThinkingOrganizational Skills

Required

Ability to work independently with minimal supervision to execute both program and internal tasks within milestones and deadlines
Data Collection and Annotation: Collecting and annotating training data, ensuring it's clean, labeled correctly, and sufficient for model training. This would most likely be in the form of vector and/or raster data related to features
Data Preprocessing: Cleaning, normalizing, and preparing the data for model training, including handling missing values and outliers. This would be from the collection and analysis and would be passed back to the DAML team to update model for the featureGen tool
Quality Assurance: Conducting quality assurance checks on data and models to identify issues and ensure the reliability and accuracy of outputs
Feedback Loop Management: Establishing and maintaining feedback loops to incorporate insights from model performance and user feedback into iterative improvements of the machine learning pipeline - mainly from the use or interaction with the featureGen tool
Collaboration: Collaborating with cross-functional teams, such as the DAML team and Integration team(s)
Understanding of all Program Input (Spec Pointers, SME Input, Site Photo Surveys/other reference, Geospecific pointers, Maps & Charts, and other internal resources) as it relates to Geotypical production and QA processes
Production of 'Area-of-Interest' and wide area feature population using advanced feature population processes/tools. Elements including but not limited to, powerlines, railroads, walls, highways, point trees, ML generated trees, building generation, rooftop clutter, vector bridges, and lightmaps
Feature processing and QA support/revisions for all Geotypical feature content
Resolve Geotypical production content DRs (discrepancy reports)
Geotypical Production support relating to internal tool development, testing, and research for potential 3rd party software options
Strong collaborative, critical thinking, and organizational skills
Proficient in the utilization and application of various GIS (Geographic Information System) operations, including but not limited to: Data Layering (Overlay Analysis), Spatial Querying, Buffering, Georeferencing, Spatial Joins, Spatial Relates
Expertise in QGIS and/or ESRI ArcGIS geographic information system software
An understanding of 3D visual composition as it relates to real world data for simulation. (i.e., relative scaling, spatial orientation, color, texture)
Basic knowledge and experience using the Cygwin bash shell
Basic knowledge and experience using Perforce revision control
Experience working in a Microsoft Windows based environment
United States citizenship required, due to restrictions on access to certain data and information
BA or BS degree from accredited college or university or equivalent employment history

Preferred

Use of QGIS and/or ESRI ArcGIS geographic information system software
Expertise with the Geotypical production tools and processes
Use of Jira Issue and Project tracking software
Basic scripting and macro creation knowledge
Use of Confluence corporate wiki
Use of Microsoft Office. (MS Excel/MS Word)

Benefits

Competitive base salary
Company performance-based profit sharing
401k
100% employer paid health benefits (medical, dental, vision, life, std, ltd, and life insurance plans)

Company

Aechelon Technology Inc.

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Aechelon Technology, Inc.

Funding

Current Stage
Growth Stage
Total Funding
unknown
2024-11-25Acquired

Leadership Team

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Javier Castellar
Co-Founder & Chief Strategy Officer (CSO)
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Chris Blumenthal
CFO/General Counsel
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Company data provided by crunchbase