SpreeAI

Machine Learning Engineer (Computer Vision/Multimodal/Generative AI)

SpreeAI
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7 months ago

Responsibilities

  • Develop and improve multimodal AI systems for image, video, and generative applications.
  • Optimize diffusion models for controllability, compute efficiency, and step efficiency.
  • Design experiments and evaluation frameworks for visual realism and consistency.
  • Translate research prototypes into scalable production systems.
  • Collaborate with infrastructure teams to optimize model training and inference.

Requirements

  • Degree in Computer Science, AI, Robotics, or comparable education and practical experience.
  • Strong programming skills in Python and familiarity with object-oriented languages such as C++ or Java.
  • Strong data structures and algorithms fundamentals.
  • Experience with PyTorch or similar machine learning frameworks.
  • Familiarity with CNNs, Vision Transformers, or diffusion architectures.
  • Preferred: experience with Stable Diffusion, ControlNet, LoRA, generative pipelines, human pose estimation, geometry-aware modeling, video understanding, and production ML systems.
SpreeAI

About SpreeAI

11-50 employees

SpreeAI builds AI-powered virtual try-on, sizing, and styling tools for fashion retailers and brands, delivered through web and mobile integrations and a partner portal. The company sells SaaS and SDKs that embed photorealistic try-on into ecommerce sites, in-store displays, and clienteling apps to reduce returns and improve conversion. Founded in 2023 and headquartered in Los Angeles, it integrates with platforms like Shopify to onboard brand partners quickly.

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