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Low Poly Modeling Jobs (NOW HIRING)

Falls Technology

Data Science - TS/SCI w POLY

Mclean, VA · On-site

The Contractor shall build out schema and data models, as required by the Sponsor. * The Contractor ... The Contractor shall deliver a stable, low-cost productions platform that enables rapid, tailored ...

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Low Poly Modeling information

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$10

$54

$79

How much do low poly modeling jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for low poly modeling in the United States is $54.99, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $68.75 per hour, depending on experience, location, and employer.

What is low poly modeling?

Low poly modeling is a 3D modeling technique that uses a relatively small number of polygons to create simple, stylized, or optimized models. These models are often used in video games, virtual reality, and mobile applications where performance and quick rendering are important. Low poly models have a distinct, angular appearance and are popular for their efficiency and unique visual style. Artists use specialized software like Blender, Maya, or 3ds Max to create them. Learning low poly modeling is a great way to start in 3D design due to its approachable complexity.

What are the key skills and qualifications needed to thrive as a Low Poly Modeler, and why are they important?

To thrive as a Low Poly Modeler, you need strong 3D modeling skills, a solid understanding of geometry optimization, and experience with industry-standard tools such as Blender, Maya, or 3ds Max. Familiarity with texturing pipelines, baking normal maps, and UV unwrapping are essential technical proficiencies, sometimes supported by relevant certifications or coursework. Creativity, attention to detail, and effective communication are standout soft skills for collaborating with design teams and meeting project requirements. These skills ensure visually appealing, technically efficient assets that enhance performance and aesthetics in games and interactive media.

What is the difference between Low Poly Modeling vs 3D Modeling?

AspectLow Poly Modeling3D Modeling
CredentialsTypically no formal certification requiredOften requires training or certification in 3D software
Work EnvironmentGame development, real-time applicationsAnimation, film, product design
Industry UsageVideo games, VR/ARFilm, advertising, product visualization
Search & Comparison IntentFocus on low polygon count for performanceFocus on detailed, high-resolution models

Low Poly Modeling specializes in creating models with a low polygon count for real-time applications like games and VR, emphasizing efficiency. 3D Modeling covers a broader range of detailed models used in film, animation, and product design. While both involve 3D software skills, Low Poly Modeling is more about optimization, whereas 3D Modeling often emphasizes detail and realism.

What are some common challenges faced by low poly modelers when balancing detail and performance in 3D assets?

Low poly modelers often face the challenge of creating visually appealing assets while keeping polygon counts low to ensure optimal performance, especially for games and real-time applications. Striking this balance requires creativity in using texture maps, normal maps, and clever geometry to suggest detail without adding extra polygons. Collaboration with animators and technical artists is also essential to ensure that models deform well during animation and meet performance requirements across different platforms. Staying updated with the latest tools and optimization techniques can help address these challenges effectively.
Infographic showing various Low Poly Modeling job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,372 per year, or $55 per hour.

Data Science - TS/SCI w POLY

Falls Technology

Mclean, VA • On-site

Full-time

Posted 26 days ago

Job description

Salary: 150-200k

TS/SCI with POLY REQUIRED


Looking for subject matter expertise to develop a tool to enhance their signature management capabilities
andtointegratetheSponsorsdiversedataholdingsandtoleveragenovelAI/MLsolutionsto support the Sponsors operational requirements.


Work Requirements

Data Science

  • TheContractorshallworkcloselywithotherteams; however, theSponsorprojectmanagerwillmanage the priorities.
  • The
    Contractor
    shall
    integrate
    with
    Sponsor
    team
    to
    develop
    an
    understanding
    of
    Sponsor
    data structures.
  • The Contractor shall build out schema and data models, as required by the Sponsor.
  • The
    Contractor
    shall
    complete
    the
    Sponsors
    systems
    administrator
    security
    course
    (approx.
    8
    hours
    of training).
  • The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.
  • The
    Contractor
    shall
    provide
    briefings,
    to
    include
    presentation
    slides
    and
    user
    guide
    documentation,
    as required by the Sponsor.

Data Science

  • The
    Contractor
    shall
    expand
    the
    Sponsors
    Artificial
    Intelligence
    and
    Machine
    Learning
    (AI/ML) architecture and develop an analytics user interface (UI).
  • The Contractor shall bridge research output to operational teams by packing models as reliable service.
  • The Contractor shall create operator-focused dashboards.
  • The
    Contractor shall deliver a stable, low-cost productions platform that enables rapid, tailored outreach.
  • The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.
  • The
    Contractor
    shall
    provide
    briefings,
    to
    include
    presentation
    slides
    and
    user
    guide
    documentation,
    as required by the Sponsor.

Required Skills and Demonstrated Experience

The Contractor shall have the following required skills, certifications, and demonstrated experience:


    • Data Science #1


Demonstrated experience with proficiency in Python.


  • Demonstrated experience with data analytics and transformations.

  • Demonstrated experience with complex graph database queries.

  • Demonstrated experience in cloud compute environments.

  • Demonstrated
    ability
    to
    effectively
    communicate
    (verbal
    and
    written)
    with
    technical
    and non-technical personnel as well as all levels of management and staff.

  • Data Science #2

  • Demonstrated experience in cloud compute environments.

  • Demonstrated experience in containerization concepts.

  • Demonstrated experience in Machine Learning Operations (MLOps).

  • Demonstrated expertise in software engineering, cloud architecture and UI design.

  • Demonstrated experience supporting big data environments.

  • Demonstrated
    ability
    to
    effectively
    communicate
    (verbal
    and
    written)
    with
    technical
    and non-technical personnel as well as all levels of management and staff.

Highly Desired Skills and Demonstrated Experience

Skills and demonstrated experiences that are highly desired but not required to perform the work include:


    • Data Science #1

    • Demonstrated experience with proficiency in SQL

    • Demonstrated experience with Cypher

    • Demonstrated experience with Amazon Web Service (AWS), (Lambda)

    • Demonstrated experience with Docker

    • Data Science #2

    • Demonstrated experience with proficiency in Python and SQL

    • Demonstrated experience with Docker

    • Demonstrated experience with Flask, Gradio, or Streamlit


TS/SCI with POLY REQUIRED