SpreeAI
AI Researcher (Computer Vision/Multimodal/Generative AI)
Hybrid (San Francisco, California, US)
Sponsorship not specifiedDetected 20 days ago
PythonAlgorithmsMachine LearningDeep LearningPyTorchNLPComputer VisionLLMsRoboticsResearch
About the role
- You will explore new architectures, algorithms, and training strategies that improve realism, controllability, efficiency, and multimodal understanding - with a direct path from research to production.
- Why This Role Exists Modern multimodal AI systems struggle with identity preservation, pose consistency, physical realism, and controllability under production constraints.
- This role is for researchers who want to see novel ideas become shipped systems used by real customers.
Responsibilities
- Design experiments improving realism, temporal consistency, and human representation.
- Collaborate with applied engineering teams to translate research into production systems.
- We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact.
Nice to have
- Publications at top conferences (CVPR, ICCV, NeurIPS, ICLR, SIGGRAPH, etc.).
- Experience with diffusion-based generative models.
- Experience bridging research into production systems.
- Interest in compute efficiency, distillation, or scalable generative pipelines.
Benefits
- About the Role We are hiring ML Researchers to develop novel approaches that advance the frontier of multimodal vision AI and create product-defining capabilities for SpreeAI.
- This role exists because current generative and vision models are not designed for photorealistic human representation, controllable try-on, or real-world deployment constraints.
- Develop novel architectures and training approaches for vision and multimodal AI.
- Transformer-based vision models (ViT, multimodal transformers).
- Representation learning for human pose, geometry, or identity consistency.
- Multimodal architectures combining vision, text, and structured inputs.
- Qualifications PhD in Computer Science, Artificial Intelligence, Robotics, Computer Vision, or related field.
- Strong research background in computer vision, generative modeling, or multimodal AI.
- Experience with deep learning frameworks (PyTorch preferred).
Company info
- Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology.
Apply directly at SpreeAI →Create a free account for alerts like thisView SpreeAI immigration profile
This listing is sourced directly from SpreeAI's careers page and normalized into a canonical job model.