# Machine Learning Engineer (Computer Vision/Multimodal/Generative AI) at SpreeAI

- Company: SpreeAI
- What the company does: 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.
- Company website: https://spreeai.com
- Type: Startups (AI role)
- Level: Mid level
- Location: Hybrid (San Francisco, California, US)
- Work setup: Hybrid
- Posted: 2026-02-17
- Apply by: 2026-10-08
- Apply: https://ats.rippling.com/spreeai/jobs/5d81707c-ffbe-4c3c-b491-a348071ab237
- Page: https://www.1752.vc/careers/jobs/spreeai-machine-learning-engineer-computer-vision-multimodal-generative-ai/

## About the role

We are hiring Machine Learning Engineers who want to work on frontier problems in vision and generative AI where standard solutions break. You will work across photorealistic virtual try-on, video-based modeling, Smart Sizing, and multimodal representation learning. The work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness.

## What they're looking for

- Develop and improve multimodal AI systems involving image, video, and generative pipelines
- Work on diffusion model optimization, controllability, and step efficiency
- Design experiments and evaluation frameworks for visual realism and consistency
- Translate research prototypes into scalable production systems
- Collaborate closely with infrastructure teams to optimize training and inference
- Degree in Computer Science, AI, Robotics, or comparable combination of education and practical experience

Tags: Engineering