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Aechelon Technology

Geotypical Production Modeler

Reposted One Month Ago
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In-Office
South San Francisco, CA, USA
70K-90K Annually
Entry level
In-Office
South San Francisco, CA, USA
70K-90K Annually
Entry level
The Geotypical Production Modeler produces visual data using GIS software, focuses on machine learning for feature processing, and collaborates across teams for quality assurance.
The summary above was generated by AI
Aechelon Technology, a Shield AI company, 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.

ESSENTIAL DUTIES AND 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.
EXPERIENCE REQUIRED FOR THIS POSITION:
  • 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.
DESIRED COMPETENCIES:
  • 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)
SUPERVISORY REQUIREMENTS:
  • None
REQUIRED EDUCATION, ELIGIBILITY AND EXPERIENCE:
  • BA or BS degree from accredited college or university or equivalent employment history
COMPENSATION & BENEFITS 

$70,000 - $90,000 USD per year

The above range is specific to CALIFORNIA and may not be applicable to other locations. The pay scale for this role is between $70,000 - $90,000. Final compensation is based on factors such as the candidate's skills, qualifications, and experience. 

We offer a very attractive compensation package including competitive base salary, company performance-based profit sharing, 401k, 100% employer paid health benefits.



This position description is not intended to be a complete listing of activities, duties or responsibilities that are required of the employee holding this position. Duties, responsibilities and activities may be changed or others may be assigned at any time by the Company with notice to the employee. 

Shield AI is an equal opportunity employer. We are committed to providing access and opportunities to individuals with disabilities. If you are an applicant who is unable to fully utilize/access our application process because of a disability, Aechelon Technology will provide a reasonable accommodation. Please send an email to [email protected] to request that accommodation, and please be sure to include a detailed description of your requested accommodation, your name and preferred method of contact.

HQ

Aechelon Technology San Francisco, California, USA Office

888 Brannan St, San Francisco, CA, United States, 94103

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