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Psl Scale For Modeling Jobs in California (NOW HIRING)

Flow

AI BIM/CAD Modeler

San Francisco, CA

$140K - $150K/yr

... scaling headcount. Right now, our system model skews from physical reality. These gaps matter ... This isn't a role for someone who has thought about why AI doesn't work for modeling. It's for ...

Flow

AI BIM/CAD Modeler

San Francisco, CA · On-site

$140K - $150K/yr

... scaling headcount. Right now, our system model skews from physical reality. These gaps matter ... This isn't a role for someone who has thought about why AI doesn't work for modeling. It's for ...

Flow

AI BIM/CAD Modeler

San Francisco, CA

$140K - $150K/yr

... scaling headcount. Right now, our system model skews from physical reality. These gaps matter ... This isn't a role for someone who has thought about why AI doesn't work for modeling. It's for ...

Qualcomm

SoC Modeling Engineer

San Diego, CA · On-site

$115K - $173K/yr

Modeling of electrical systems and circuits, at component and transistor level * Modeling of ... scale for this job code for the location for which it has been posted. Even more importantly ...

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Psl Scale For Modeling information

What PSL rating am I?

In the context of PSL Scale for Modeling, the PSL rating indicates a model's skill level or complexity, often used to categorize proficiency or project difficulty. The rating typically ranges from lower to higher levels, with higher scores reflecting more advanced modeling capabilities. To determine your PSL rating, assess your experience, skills, and the specific criteria set by your modeling environment or organization.

What does PSL mean in modeling?

In modeling, PSL often refers to a specific scale or measurement used to represent proportions accurately, such as a proportional scale for clothing or figure modeling. It can also relate to modeling tools or standards that ensure consistency in size and fit during the design process.

What is a 5.5 on the PSL scale?

In the context of PSL Scale for Modeling, a 5.5 indicates a moderate level of skill or experience, often representing an intermediate proficiency. It is used to assess a modeler's ability to handle complex tasks and tools within the role. This rating helps employers gauge the candidate's suitability for modeling positions requiring specific technical competencies.

What is a good PSL score?

A good PSL score for modeling roles typically depends on the specific employer and position, but generally, a score above 700 on the PSL scale indicates strong performance. Higher scores demonstrate proficiency in modeling skills, which can improve job prospects and advancement opportunities in data analysis or financial modeling roles.
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Psl Scale For Modeling jobs near you
Infographic showing various Psl Scale For Modeling job openings in California as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, and 6% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.
Geotypical Production Modeler

Geotypical Production Modeler

Aechelon Technology

South San Francisco, CA

$70K - $90K/yr

Other

Medical, Retirement

Posted 3 days ago

Job description

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.

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