... non-internship design or architecture (design patterns, reliability and scaling) of new and ... years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or ...
... non-internship design or architecture (design patterns, reliability and scaling) of new and ... years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or ...
Internship Pattern Designer information
What are some common challenges faced during an internship as a Pattern Designer, and how can they be overcome?
Internship Pattern Designers often encounter challenges such as adapting to new software tools, understanding varying design specifications, and collaborating effectively with experienced designers. It's common to feel overwhelmed at first by the pace of production or the need to quickly iterate on patterns based on feedback. Overcoming these challenges involves proactive communication, seeking feedback regularly, and taking initiative to practice with industry-standard software. Building strong relationships with mentors and team members can also help interns gain valuable insights and accelerate their learning curve.
What does an internship pattern designer do?
An internship pattern designer assists in creating templates or blueprints for clothing or textiles, working closely with senior designers and production teams. Their tasks often include drafting patterns, adjusting designs based on feedback, and learning about the technical side of pattern making. Interns gain hands-on experience with industry tools and software, while also contributing to fittings and sample production. This role helps develop both creative and technical skills necessary for a career in fashion or textile design.
What is the difference between Internship Pattern Designer vs Pattern Maker?
| Aspect | Internship Pattern Designer | Pattern Maker |
|---|---|---|
| Credentials | Basic fashion design or pattern drafting courses, internship experience | Technical pattern drafting skills, experience in garment construction |
| Work Environment | Design studios, fashion houses, internships | Manufacturing units, tailoring shops, production facilities |
| Industry Usage | Fashion design, apparel development | Garment production, sample creation |
While both roles involve pattern work, an Internship Pattern Designer focuses on learning and assisting in designing patterns during an internship, whereas a Pattern Maker is responsible for creating precise patterns for production. The internship role is more educational, while the pattern maker role is more technical and production-oriented.
What are the key skills and qualifications needed to thrive as an Internship Pattern Designer, and why are they important?
To thrive as an Internship Pattern Designer, you need a solid understanding of garment construction, textile properties, and pattern drafting, often gained through fashion design coursework or a related diploma. Familiarity with industry-standard software such as Adobe Illustrator, Gerber, or CLO 3D is highly valuable. Attention to detail, creativity, and strong communication skills help interns effectively collaborate with design teams and translate ideas into workable patterns. These skills ensure accurate, innovative designs that meet both aesthetic and functional requirements in the fashion industry.
What are popular job titles related to Internship Pattern Designer jobs in Tennessee? For Internship Pattern Designer jobs in Tennessee, the most frequently searched job titles are:
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What job categories do people searching Internship Pattern Designer jobs in Tennessee look for? The top searched job categories for Internship Pattern Designer jobs in Tennessee are:
What cities in Tennessee are hiring for Internship Pattern Designer jobs? Cities in Tennessee with the most Internship Pattern Designer job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 5 days ago
Amazon rating
7.4
Based on 6,878 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
We're looking for a Software Development Engineer to help build the AI and computer vision systems that keep Amazon's workforce safe. This is a chance to work at the intersection of advanced machine learning and real-world impact, writing code that helps reduce workplace injuries for over 1.5 million people.
You'll join a team of engineers and applied scientists developing computer vision applications, real-time inference systems, and cloud-native services that detect and prevent safety risks across Amazon's global operations. You'll design and build production software end-to-end, from ingesting and processing video and sensor data, to deploying ML models at the edge, to surfacing actionable insights through internal tools and APIs. If you're excited about building systems that combine deep learning, distributed computing, and IoT, and you want to see your code make a tangible difference in people's lives, this is the role for you.
Key job responsibilities
- Design, develop, and maintain production services that power computer vision and AI-based safety applications, built on AWS
- Build and optimize data ingestion pipelines for video, image, and sensor data from edge devices deployed across Amazon facilities
- Develop APIs and backend services that integrate ML model outputs with internal safety tools and dashboards
- Collaborate with applied scientists to productionize machine learning models - handling model serving, inference optimization, and deployment workflows
- Write clean, well-tested, and maintainable code while contributing to code reviews, design documents, and architectural decisions
- Operate and maintain services in production, including monitoring, alarming, troubleshooting, and incident response
- Identify opportunities to improve system performance, scalability, and reliability as the platform scales to new sites and use cases
About the team
Amazon's Workplace Health & Safety (WHS) organization is responsible for keeping over 1.5 million employees safe across our global retail operations. Within WHS, our technology team builds the science and engineering capabilities that power Amazon's safety strategy at scale.
We're a cross-functional group of software engineers, applied scientists, data engineers, and technical program managers developing computer vision systems, generative AI applications, sensor and IoT solutions, and analytics platforms - all aimed at reducing workplace safety incidents. You'll work closely with applied scientists and ML engineers to take models from research to production, and collaborate with TPMs and product managers to deliver solutions that safety professionals rely on every day. Our culture values technical ownership, curiosity, and shipping systems that create measurable real-world impact.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TN, Nashville - 136,500.00 - 184,700.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually
You'll join a team of engineers and applied scientists developing computer vision applications, real-time inference systems, and cloud-native services that detect and prevent safety risks across Amazon's global operations. You'll design and build production software end-to-end, from ingesting and processing video and sensor data, to deploying ML models at the edge, to surfacing actionable insights through internal tools and APIs. If you're excited about building systems that combine deep learning, distributed computing, and IoT, and you want to see your code make a tangible difference in people's lives, this is the role for you.
Key job responsibilities
- Design, develop, and maintain production services that power computer vision and AI-based safety applications, built on AWS
- Build and optimize data ingestion pipelines for video, image, and sensor data from edge devices deployed across Amazon facilities
- Develop APIs and backend services that integrate ML model outputs with internal safety tools and dashboards
- Collaborate with applied scientists to productionize machine learning models - handling model serving, inference optimization, and deployment workflows
- Write clean, well-tested, and maintainable code while contributing to code reviews, design documents, and architectural decisions
- Operate and maintain services in production, including monitoring, alarming, troubleshooting, and incident response
- Identify opportunities to improve system performance, scalability, and reliability as the platform scales to new sites and use cases
About the team
Amazon's Workplace Health & Safety (WHS) organization is responsible for keeping over 1.5 million employees safe across our global retail operations. Within WHS, our technology team builds the science and engineering capabilities that power Amazon's safety strategy at scale.
We're a cross-functional group of software engineers, applied scientists, data engineers, and technical program managers developing computer vision systems, generative AI applications, sensor and IoT solutions, and analytics platforms - all aimed at reducing workplace safety incidents. You'll work closely with applied scientists and ML engineers to take models from research to production, and collaborate with TPMs and product managers to deliver solutions that safety professionals rely on every day. Our culture values technical ownership, curiosity, and shipping systems that create measurable real-world impact.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TN, Nashville - 136,500.00 - 184,700.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually
About Amazon
Sourced by ZipRecruiter
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