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Fashion Computer Science Jobs (NOW HIRING)

Uw

Computer Support Technician 2-2

Seattle, WA

The College of Arts & Sciences IT team has an outstanding opportunity for a Computer Support ... Communicate clearly and in a timely fashion when escalating issues to appropriate team members or ...

New

Beyond SOF

Data Analyst

Columbia, MD

... fashion. * Develop data standards and policies. Conduct hypothesis testing using statistical processes. * Document the implementation of a solution's mathematical, data science and computer science ...

Beyond SOF

Data Analyst

Columbia, MD · On-site

... fashion. * Develop data standards and policies. Conduct hypothesis testing using statistical processes. * Document the implementation of a solution's mathematical, data science and computer science ...

Poshmark, Inc

Software Engineer II, iOS

Redwood City, CA · On-site

$108K - $180.90K/yr

About Poshmark Poshmark is the leading fashion marketplace where style comes alive through ... Solid foundation in computer science fundamentals such as data structures, algorithms, and software ...

Poshmark, Inc

Sr. Software Engineer, iOS

Redwood City, CA · On-site

$124.70K - $208.85K/yr

About Poshmark Poshmark is the leading fashion marketplace where style comes alive through ... Strong foundation in the fundamentals of computer science, data structures, algorithms, and ...

Hired Recruiters

Full Stack Software Engineer

New York, NY · On-site

$120K - $160K/yr

... fashion. * Create engaging UIs using performant and modern React. * Take on initiatives related to managing and improving existing infrastructure. Required skills * Bachelors in computer science or ...

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Fashion Computer Science information

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$50.5K

$111.3K

$137.5K

How much do fashion computer science jobs pay per year?

As of May 30, 2026, the average yearly pay for fashion computer science in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a Fashion Computer Science job?

A Fashion Computer Science job combines technology and fashion to develop software, algorithms, and digital tools for design, manufacturing, and retail. Professionals in this field work on areas like AI-driven design, virtual try-ons, supply chain optimization, and smart textiles. They may use programming, data analytics, and machine learning to enhance efficiency and innovation in the fashion industry. This role is ideal for those with both technical skills and a passion for fashion trends and innovation.

What are the key skills and qualifications needed to thrive in the Fashion Computer Science position, and why are they important?

To excel in Fashion Computer Science, you need a solid background in computer science, programming, and knowledge of fashion design processes, usually evidenced by a degree in computer science, fashion technology, or a related field. Experience with tools such as Adobe Creative Suite, CAD software, data analytics platforms, and proficiency in programming languages like Python or R is often required. Strong collaboration, problem-solving, and creative thinking skills help you create innovative solutions that blend technology with fashion trends. Combining these skills enables professionals to develop efficient design systems, leverage data for trend forecasting, and drive innovation within the fashion industry.

What kinds of teams or departments do Fashion Computer Science professionals typically collaborate with on a daily basis?

Fashion Computer Science professionals frequently work alongside fashion designers, product developers, data analysts, and digital marketing teams to bridge the gap between technology and creative design. Their daily responsibilities often include integrating new software into design workflows, analyzing customer or trend data, and supporting e-commerce platform enhancements. Regular collaboration with both creative and technical colleagues ensures that technological solutions align with design visions and market demands. This cross-functional teamwork helps drive innovation and efficiency throughout the fashion production and retail process.
More about Fashion Computer Science jobs
What cities are hiring for Fashion Computer Science jobs? Cities with the most Fashion Computer Science job openings:
What are the most commonly searched types of Fashion Computer Science jobs? The most popular types of Fashion Computer Science jobs are:
What states have the most Fashion Computer Science jobs? States with the most job openings for Fashion Computer Science jobs include:
What job categories do people searching Fashion Computer Science jobs look for? The top searched job categories for Fashion Computer Science jobs are:
Fashion Computer Science jobs near you
Infographic showing various Fashion Computer Science job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 80% Full Time, 9% Part Time, 1% Temporary, and 8% Contract. Highlights an 96% Physical, and 4% Hybrid job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

AI Researcher (Computer Vision/Multimodal/Generative AI)

SpreeAI

San Francisco, CA • On-site

Full-time

Posted 12 days ago

Job description

About the Role
We are hiring ML Researchers to develop novel approaches that advance the frontier of multimodal vision AI and create product-defining capabilities for SpreeAI. This role exists because current generative and vision models are not designed for photorealistic human representation, controllable try-on, or real-world deployment constraints. You will explore new architectures, algorithms, and training strategies that improve realism, controllability, efficiency, and multimodal understanding - with a direct path from research to production.
You will work on research problems across:
  • photorealistic virtual try-on
  • human-centric visual representation learning
  • video-based modeling and temporal consistency
  • multimodal reasoning and generative pipelines
  • compute-efficient diffusion and generative architectures

This is a research role with product impact: successful work leads to platform capabilities, white papers, patents and most importantly, industry differentiation.
Why This Role Exists
Modern multimodal AI systems struggle with identity preservation, pose consistency, physical realism, and controllability under production constraints. We are building new approaches where:
  • diffusion models must produce consistent outputs across poses, viewpoints, and garments,
  • generative models must learn human and garment interactions realistically,
  • research innovations must scale to real-world deployment environments.

This role is for researchers who want to see novel ideas become shipped systems used by real customers.
What you'll do
  • Develop novel architectures and training approaches for vision and multimodal AI.
  • Advance generative modeling techniques including controllable diffusion and video generation.
  • Design experiments improving realism, temporal consistency, and human representation.
  • Collaborate with applied engineering teams to translate research into production systems.
  • Publish white papers or research outputs aligned with product differentiation.
  • Evaluate new model paradigms for scalability and efficiency.

Core Research Areas & Model Architectures
Candidates should have familiarity with or interest in advancing:
  • Diffusion models and latent diffusion architectures.
  • Transformer-based vision models (ViT, multimodal transformers).
  • Image-to-image and video generation pipelines.
  • Control mechanisms for generative models (conditioning, adapters, LoRA).
  • Representation learning for human pose, geometry, or identity consistency.
  • Multimodal architectures combining vision, text, and structured inputs.

Qualifications
  • PhD in Computer Science, Artificial Intelligence, Robotics, Computer Vision, or related field.
  • Strong research background in computer vision, generative modeling, or multimodal AI.
  • Strong programming skills in Python and familiarity with object-oriented languages.
  • Experience with deep learning frameworks (PyTorch preferred).
  • Strong foundations in machine learning theory and experimental design.

Preferred Qualifications
  • Publications at top conferences (CVPR, ICCV, NeurIPS, ICLR, SIGGRAPH, etc.).
  • Experience with diffusion-based generative models.
  • Video modeling or temporal learning experience.
  • Experience bridging research into production systems.
  • Interest in compute efficiency, distillation, or scalable generative pipelines.

SPREEAI is a fast-growing, innovative AI company at the forefront of fashion and e-commerce, revolutionizing how consumers engage with fashion through lifelike photorealistic try-on technology and hyper-personalized shopping experiences. Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology. We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact. If you are passionate about innovation and shaping the future of fashion, SPREEAI offers a platform to make your mark.

Apply