Role overview
About The RoleWe 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. This role sits at the intersection of applied research and engineering execution.What You'll Do
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.
What we're looking for
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.
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Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet