Scrabble is partnering with an early stage, post revenue startup building products for the fashion industry to hire a Computer Vision Engineer

Job Summary

The role involves working on cutting edge computer vision and generative AI challenges to enhance fashion tech platform. The candidate will focus on developing and optimizing AI models for virtual try on experiences and visual similarity/image retrieval systems. This position contributes directly to improving the quality, realism, and scalability of AI driven fashion visualization tools, supporting its mission to revolutionize personal styling.

Responsibilities

• Own and solve challenging, open-ended research problems in computer vision and generative AI.
• Study and build upon recent research in diffusion models, vision-language models, image generation, and embeddings.
• Design and conduct experiments to test new approaches and improve model performance.
• Develop novel AI solutions and translate promising research into functional models.
• Enhance image generation quality, consistency, and realism for virtual try-on applications.
• Build and optimize systems for visual similarity and image retrieval to accurately match jewelry photographs to catalog products.
• Train, fine-tune, evaluate, and optimize computer vision and generative AI models.
• Adapt existing research architectures to meet real-world product requirements.
• Develop robust pipelines for model training, inference, and evaluation.
• Deploy models into production, optimizing for speed, cost, and scalability.
• Collaborate closely with the research team to convert experimental findings into production-ready systems.

Qualifications

• Strong fundamentals and hands-on expertise in computer vision demonstrated through research publications, shipped products, or substantial technical projects.
• Experience with generative AI, including diffusion models, image generation, vision-language models, image embeddings, or visual similarity techniques.
• Proficiency in programming and model development, especially in Python and deep learning frameworks such as PyTorch.
• Ability to independently identify problems, take ownership, experiment, and deliver results quickly.
• Strong problem-solving skills with a proactive, execution-oriented mindset.
• Startup experience and product sensibility, with a focus on both model performance and end-user experience.
• Excellent documentation skills to clearly record experiments, findings, iterations, and learnings.

Preferred Skills

• Familiarity with advanced AI research literature and ability to translate research into practical applications.
• Experience working in fast-paced environments where research outcomes must rapidly translate into product features.
• Strong communication skills for sharing progress and collaborating effectively within a multidisciplinary team.

Experience

• Demonstrated experience in computer vision and generative AI research or engineering roles.
• Experience shipping AI models or products in production environments is highly desirable.
• Prior involvement in startup or product-driven environments preferred.

Environment

• Collaborative, fast-paced work culture combining expertise from diverse fields including mathematics, coding, styling, design, and film creation.
• Emphasis on clear, structured thinking and sequential problem-solving.
• Regular documentation and communication of progress and learnings via Slack.
• Ownership-driven work style with a focus on translating research into tangible product outcomes.