SpreeAI
Machine Learning Engineer (Computer Vision/Multimodal/Generative AI)
Hybrid (San Francisco, California, US)
Sponsorship not specifiedDetected 20 days ago
PythonJavaC++Data StructuresAlgorithmsMachine LearningPyTorchNLPComputer VisionLLMsRoboticsResearch
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.
Responsibilities
- Develop and improve multimodal AI systems involving image, video, and generative pipelines.
- Design experiments and evaluation frameworks for visual realism and consistency.
- Collaborate closely with infrastructure teams to optimize training and inference.
- We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact.
Requirements
- Experience with PyTorch or similar frameworks.
Nice to have
- Experience with Stable Diffusion, ControlNet, LoRA, or generative pipelines.
- Human pose estimation, geometry-aware modeling, or video understanding.
- Experience shipping ML systems into production.
Benefits
- 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.
- Qualifications Degree in Computer Science, AI, Robotics, or comparable combination of education and practical experience.
- Familiarity with CNNs, Vision Transformers (ViT), or diffusion architectures.
Company info
- Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology.
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