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Fashion Ai Jobs (NOW HIRING)

SpangleAI

AI/ML Scientist

Bellevue, WA · On-site

Spangle won NRF's VIP (Vendor in Partnership) Award for Best AI-Driven Marketing Solution and was recognized in Business of Fashion's AI startups to Watch. Founded by serial entrepreneurs with 30 ...

SpangleAI

Technical Product Manager, AI

Bellevue, WA · On-site

$188K - $217K/yr

Spangle won NRF's VIP (Vendor in Partnership) Award for Best AI-Driven Marketing Solution and was recognized in Business of Fashion's AI startups to Watch. Founded by serial entrepreneurs with 30 ...

Raspberry AI

AI Designer

New York, NY · On-site

Some of the world's top fashion brands rely on Raspberry AI to streamline their workflows and accelerate product development. We closed $24 million in Series A from a16z, plus $5 million seed rounds ...

AKIRA

Fashion Stylist PT

Virginia Beach, VA · On-site

$18 - $35/hr

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

SpangleAI

Senior Fullstack Engineer

Bellevue, WA · On-site

$138K - $182K/yr

Spangle won NRF's VIP (Vendor in Partnership) Award for Best AI-Driven Marketing Solution and was recognized in Business of Fashion's AI startups to Watch. Founded by serial entrepreneurs with 30 ...

AKIRA

Fashion Stylist PT

Chicago, IL · On-site

$18 - $30/hr

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

AKIRA

Fashion Stylist PT

Newark, DE · On-site

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

AKIRA

Fashion Stylist PT

Chicago, IL · On-site

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

AKIRA

Fashion Stylist PT

Concord, NC

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

SpangleAI

Enterprise Account Executive

Bellevue, WA · On-site

$240K - $300K/yr

Spangle won NRF's VIP (Vendor in Partnership) Award for Best AI-Driven Marketing Solution and was recognized in Business of Fashion's AI startups to Watch. Founded by serial entrepreneurs with 30 ...

AKIRA

Fashion Stylist PT

Virginia Beach, VA

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

AKIRA

Fashion Stylist FT

Bethesda, MD · On-site

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

AKIRA

Fashion Stylist PT - Beachwood

Beachwood, OH

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

AKIRA

Fashion Stylist FT

Concord, NC · On-site

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

AKIRA

Fashion Stylist PT - Katy

Katy, TX · On-site

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

AKIRA

Fashion Stylist PT - Baybrook

Friendswood, TX · On-site

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

AKIRA

Fashion Stylist PT - Natick

Natick, MA · On-site

$18 - $30/hr

AKIRA Fashion Stylist In 2002, AKIRA opened the doors to its first women's clothing boutique in ... We may utilize AI-assisted and automated tools as part of the recruiting and hiring process. All ...

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Fashion Ai information

See salary details

$33K

$69.5K

$105K

How much do fashion ai jobs pay per year?

As of Aug 23, 2026, the average yearly pay for fashion ai in the United States is $69,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $89,000.00 per year, depending on experience, location, and employer.

What is Fashion AI?

Fashion AI refers to the use of artificial intelligence technologies in the fashion industry to automate processes, enhance creativity, and improve customer experiences. It includes applications like trend forecasting, virtual fitting rooms, personalized recommendations, and supply chain optimization. Fashion AI helps brands analyze large amounts of data, streamline design and production, and offer tailored shopping experiences. As a result, it is transforming how fashion companies operate and interact with customers.

How does a Fashion AI professional typically collaborate with designers and merchandisers within a fashion company?

Fashion AI professionals work closely with designers and merchandisers to translate creative concepts into data-driven insights. They might analyze trends, predict consumer preferences, and automate design processes using machine learning models. Regular meetings and collaborative brainstorming sessions ensure AI solutions align with the brand’s aesthetic and business goals. This role often involves explaining technical results in accessible terms, facilitating a strong bridge between creative and technical teams.

What are the key skills and qualifications needed to thrive as a Fashion AI specialist, and why are they important?

To thrive as a Fashion AI Specialist, you need a strong background in computer science, machine learning, and data analysis, often supported by a relevant degree or industry experience in both AI and fashion. Familiarity with programming languages (such as Python), AI frameworks (like TensorFlow or PyTorch), and understanding of fashion-specific datasets and tools are typically required. Strong creativity, problem-solving abilities, and collaboration skills help bridge the gap between technical development and fashion trends. These skills are crucial for developing innovative AI solutions that drive efficiency, personalization, and trend prediction in the fashion industry.

What is the difference between Fashion Ai vs Fashion Data Analyst?

AspectFashion AiFashion Data Analyst
Required CredentialsBackground in AI, machine learning, or data science; knowledge of fashion industryDegree in data science, statistics, or related field; understanding of fashion trends
Work EnvironmentTech-focused, collaborative teams, often in fashion tech companiesData-driven roles within fashion brands, retail, or consulting firms
Industry UsageEmerging role in fashion tech, focusing on AI solutionsEstablished role analyzing fashion data and trends
Common Search/ComparisonYesYes

Fashion Ai professionals focus on developing and implementing AI solutions tailored to the fashion industry, often requiring expertise in AI and machine learning. Fashion Data Analysts interpret fashion-related data to inform business decisions, requiring strong analytical skills. While both roles work within the fashion industry and handle data, Fashion Ai emphasizes AI technology development, whereas Fashion Data Analysts focus on data interpretation and insights.

More about Fashion Ai jobs

What cities are hiring for Fashion Ai jobs?

Cities with the most Fashion Ai job openings:

What states have the most Fashion Ai jobs?

States with the most job openings for Fashion Ai jobs include:

What job categories do people searching Fashion Ai jobs look for?

The top searched job categories for Fashion Ai jobs are:

Fashion Ai jobs near you
Infographic showing various Fashion Ai job openings in the United States as of August 2026, with employment types broken down into 38% Full Time, and 62% Part Time. Highlights an 100% In-person job distribution, with an average salary of $69,494 per year, or $33.4 per hour.

AI/ML Scientist

SpangleAI

Bellevue, WA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

About SpangleAI
Launched in 2025, Spangle AI is the agentic conversion layer connecting AI-led discovery to real-time conversion. We've partnered with enterprise brands like REVOLVE, Alexander Wang, and Steve Madden, delivering up to 50% conversion lifts and 2x ROAS improvements.
We recently closed a $15M Series A. Spangle won NRF's VIP (Vendor in Partnership) Award for Best AI-Driven Marketing Solution and was recognized in Business of Fashion's AI startups to Watch.
Founded by serial entrepreneurs with 30+ years scaling AI and commerce at Amazon, Saks, and Gap, we're building the commerce infrastructure for the agentic era, where ChatGPT Shopping, Google AI Overviews, and Meta are reshaping how consumers discover and buy.
The Role
We are seeking a ML Scientist that will be responsible for building GAI/LLM models end-to-end, from developing the data pipeline to model deployment, to solving real-world problems in the e-commerce sector. You will also collaborate with cross-functional teams to deliver solutions that delight our customers and shoppers.
This role is preferably based in Seattle, the Bay Area, or Austin. Join our founding team to drive product innovation and contribute directly to the growth of our dynamic startup.
What you'll own:
  • AI/ML Research and Innovation: Conduct cutting-edge research in Generative AI (GAI) and Large Language Models (LLMs), staying at the forefront of AI/ML advancements. Identify and explore novel algorithms, architectures, and techniques to enhance model performance, scalability, and efficiency in e-commerce applications
  • Implementation: Train, deploy, and optimize GAI and LLM algorithms and models to improve product recommendations, search relevance, personalization, and customer interaction
  • Data Engineering: Design, build, and manage ETL processes to gather data from various sources, transform it into a usable format, and load it into a data warehouse or data lake
  • Delivery: Collaborate with product, engineering, and data teams to identify opportunities for applying generative AI and LLMs to solve complex problems and enhance customer experiences
  • Evaluation: Design and conduct experiments to evaluate the performance and effectiveness of generative and language models in an e-commerce context

What We're Looking For
Education
  • Ph.D. or Master's degree in AI, Machine Learning, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on artificial intelligence

Experience
  • 2-5 years of experience, proven experience in developing and deploying AI applications end to end in real-world applications, preferably in e-commerce or a related field

Technical Skills
  • Deep expertise in generative models (e.g., GANs, diffusion models, autoencoders) and Large Language Models (e.g., GPT, BERT, T5, LLaMA)
  • Experience with LLM fine-tuning, RL post training, prompt engineering, and deploying LLMs for applications such as natural language understanding, content generation, and recommendation systems
  • Strong understanding of the architecture and training techniques for transformer-based models, attention mechanisms, and optimization strategies for LLMs
  • Expertise in distributed training of large-scale models, including using parallelization and optimization techniques for handling large datasets
  • Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, and libraries focused on GAI/LLM development
  • Familiarity with data warehouse and data pipeline technologies (e.g., Amazon Redshift, Google BigQuery, Snowflake, Apache Airflow)
  • Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying and scaling machine learning models, especially those involving LLMs and GAI
  • Understanding of reinforcement learning and its applications within generative AI and LLMs for decision-making, personalization, or conversational AI systems.

Our Culture
  • GenAI-native in how we build, sell, and operate
  • High ownership, low overhead, and bias toward action
  • Focus on speed, experimentation, and execution
  • Deep emphasis on creating clear, demonstrable customer value
  • Preference for builders and operators over hierarchy
  • Strong belief in in-person collaboration

Why Spangle
  • Meaningful ownership and impact at an early stage with ample career growth opportunities
  • Competitive salary with uncapped commission and equity
  • Benefits: Health, dental, and vision insurance, 401(k), Unlimited PTO

Apply