Geotypical Production Modeler

Aechelon Technology•South San Francisco, CA

22h

About The Position

Aechelon Technology, Inc. is a leading producer of 3D simulator content, including Geospecific visual/sensor databases and realistic 3D models. We seek people who share our passion for real-time computer graphics and commitment to our mission of helping make our Nation’s pilots safer. We will give you a chance to work with some of the most talented people in the graphics industry. The Geotypical Production Modeler’s primary role is to produce “Area-of-Interest” and wide area feature population of the Company’s visual database using geographic information system software and advanced feature population processes/tools using machine learning and automation.

Requirements

Strong collaborative, critical thinking, and organizational skills.
Expertise in QGIS and/or ESRI ArcGIS geographic information system software.
Expertise with the Geotypical production tools and processes.
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.

Nice To Haves

Use of QGIS and/or ESRI ArcGIS geographic information system software.
Use of Jira Issue and Project tracking software.
Basic scripting and macro creation knowledge.
Use of Confluence corporate wiki.
Use of Microsoft Office. (MSExcel/MSWord)

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 data 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.