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Fashion Computer Science Jobs (NOW HIRING)

Fashion Nova

Technical Product Manager

Beverly Hills, CA · On-site

$192K - $222K/yr

... Fashion Nova's technology use and needs and recommend improvements, such as hardware and software upgrades. Role Requirements * Master's degree or foreign equivalent in Computer Science, Electrical ...

Fashion Nova

Technical Product Manager

Beverly Hills, CA

$192K - $222K/yr

... Fashion Nova's technology use and needs and recommend improvements, such as hardware and software upgrades. Role Requirements * Master's degree or foreign equivalent in Computer Science, Electrical ...

Fashion Nova

Software Engineer

Beverly Hills, CA · On-site

Bachelors or Masters degree in Computer Science. * A graduate from well reputed boot camps such as ... Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in ...

Fashion Nova

Software Engineer

Beverly Hills, CA

Bachelors or Masters degree in Computer Science. * A graduate from well reputed boot camps such as ... Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in ...

Fashion Nova

IT Technician - HQ

Beverly Hills, CA

Three plus years of experience in Computer Science, Engineering or related disciplines or ... Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in ...

Fashion Nova

Infrastructure Systems Engineer

Beverly Hills, CA · On-site

$124K - $162K/yr

Bachelor's degree in Information Systems, Computer Science, Information Security, or a related ... Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in ...

Fashion Nova

IT Technician - HQ

Beverly Hills, CA · On-site

Three plus years of experience in Computer Science, Engineering or related disciplines or ... Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in ...

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All JobsFashion Computer Science Jobs

Fashion Computer Science information

See salary details

$50.5K

$111.3K

$137.5K

How much do fashion computer science jobs pay per year?

As of Jul 15, 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 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.

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.

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 July 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% In-person job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Machine Learning Engineer II, Computer Vision Applied Science

Machine Learning Engineer II, Computer Vision Applied Science

Pinterest

San Francisco, CA • On-site, Remote

$114K - $157K/yr

Other

Re-posted 4 days ago

Job description

The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product.

Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community.

What you'll do:

  • Prototype new model architectures for Pinterest VLMs. We're looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.
  • Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.
  • Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
  • Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
  • Publish and publicize your work via conferences, paper submissions, blog posts, etc. 
  • Mentor more junior researchers or research interns within the Pinterest Labs organization.


What we're looking for:

  • Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs.
  • 2+ years of industry computer vision experience.
  • M.S. or PhD in Machine Learning, Computer Science, or related areas.


Nice to Have:

  • Publications at top ML conferences.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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