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Internship Scale Model Maker information

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$12

$18

$27

How much do internship scale model maker jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for internship scale model maker in Seattle, WA is $18.85, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $22.16 per hour, depending on experience, location, and employer.

What types of projects and collaboration can an internship scale model maker expect during their internship?

As an Internship Scale Model Maker, you'll typically work on a variety of projects that involve creating detailed physical models for architecture, engineering, or product design teams. You can expect to collaborate closely with designers, architects, and engineers to interpret plans and bring concepts to life in three dimensions. Interns often assist with tasks such as assembling materials, operating tools like laser cutters or 3D printers, and refining model details. This collaborative environment provides hands-on experience and exposure to the workflow of both creative and technical professionals, supporting your growth and understanding of the industry.

What are the key skills and qualifications needed to thrive as an internship scale model maker?

To thrive as an Internship Scale Model Maker, you need a basic understanding of design principles, precision craftsmanship, and familiarity with materials like wood, plastic, and foam, often supported by coursework or experience in industrial design or architecture. Experience using tools such as laser cutters, 3D printers, and CAD software is highly valuable. Attention to detail, creativity, and effective communication are standout soft skills in this role. These competencies ensure accurate, high-quality model construction that effectively conveys design intent and supports project team goals.

What is the difference between Internship Scale Model Maker vs Scale Model Maker?

AspectInternship Scale Model MakerScale Model Maker
CredentialsTypically students or entry-level with basic skillsProfessional certifications or extensive experience often preferred
Work EnvironmentInternship programs, educational settings, or entry-level workshopsManufacturing facilities, custom workshops, or studios
Industry UsageUsed as training or learning roles in industries like film, architecture, or hobby modelingFull-time roles in industries such as film production, architecture, or product design

The main difference is that an Internship Scale Model Maker is an entry-level or training position focused on learning and skill development, while a Scale Model Maker is a professional with more experience, often working independently or in specialized projects. Interns typically gain foundational skills, whereas full-time model makers handle complex projects and have advanced expertise.

What does an internship scale model maker do?

An Internship Scale Model Maker assists in creating small-scale replicas of objects, buildings, or products for design, engineering, or architectural purposes. Interns typically work under experienced model makers, learning hands-on skills like cutting, assembling, and finishing models using materials such as plastic, wood, or foam. They may also use digital fabrication tools like 3D printers and laser cutters. This internship provides valuable experience in interpreting design plans and working as part of a creative team.
What are popular job titles related to Internship Scale Model Maker jobs in Seattle, WA? For Internship Scale Model Maker jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Internship Scale Model Maker jobs in Seattle, WA look for? The top searched job categories for Internship Scale Model Maker jobs in Seattle, WA are:
Internship Scale Model Maker jobs near you
Infographic showing various Internship Scale Model Maker job openings in Seattle, WA as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $39,200 per year, or $18.8 per hour.

Software Development Engineer II, AWS SageMaker AI

Amazon

Bellevue, WA

$110K - $150K/yr

Full-time

Posted 6 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,079 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

At AWS SageMaker AI, we're making it easy to build state-of-the-art foundation models on the cloud. Model Factory is our platform for building, training, customizing, and evaluating foundation models at scale. Instead of hand-chaining data prep, distributed training, evaluation, and deployment across thousands of GPU and AWS Trainium devices, Model Factory lets teams express the whole lifecycle as a single, contract-validated workflow - orchestrated, reproducible, and fully managed.

As LLMs and Generative AI scale, Model Factory is the platform that turns frontier training research into a reliable, repeatable pipeline for our internal teams and customers.
We're looking for a Software Development Engineer to help design, build, and operate the distributed systems at the core of this platform - the orchestration engine, compute integrations, SDK and contract layer, and the infrastructure that runs large-scale training and customization jobs. You'll own components end-to-end, from design through delivery and on-call operations, and work closely with the ML scientists and platform teams who depend on Model Factory every day. You'll turn requirements into robust, scalable, supportable services that fit cleanly into the overall architecture, uphold a high engineering bar, and grow your scope and technical leadership as you go.
A successful candidate has a strong software-engineering foundation, writes high-quality distributed-systems and services code, communicates clearly, and is motivated to deliver results in a fast-paced, ambiguous environment.
Key job responsibilities
As a Software Development Engineer on the SageMaker AI team, you will:
- Design, build, test, and operate services that orchestrate foundation-model data preparation, training, evaluation, and deployment as reliable, contract-validated workflows.
- Own delivery of individual components end-to-end - from design and implementation through deployment, monitoring, and on-call operations.
- Build and extend compute-backend integrations and job launchers - submitting, monitoring, and recovering large-scale training jobs across SageMaker (Training/Processing/HyperPod), EMR, AWS Batch, and Kubernetes/EKS.
- Improve the platform's resiliency and operability for long-running distributed jobs - checkpoint/resume, fault detection and recovery, retries, and observability (metrics, logging, experiment tracking).
- Contribute to the SDK, workflow orchestration, and schema/contract layer that teams use to declare and run jobs, and to the CDK infrastructure that deploys the platform.
- Integrate containerized training and evaluation frameworks (e.g., PyTorch/FSDP, verl, NeMo/Megatron) into the platform's task and recipe model.
- Contribute to design and architecture discussions, write clear technical designs, and uphold engineering best practices (code review, testing, operational readiness).
- Collaborate with ML scientists and internal customers to translate training requirements into reliable, self-service platform capabilities, and help onboard and mentor interns and new engineers as you grow.

What Amazon employees say

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Benefits

Hours and flexibility

Workplace

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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