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

About the role#

SPREEAI is seeking Machine Learning Engineer Interns to address challenges in vision and generative AI. This role focuses on photorealistic virtual try-on, video-based modeling, Smart Sizing, and multimodal representation learning. You will work at the intersection of applied research and engineering, focusing on modern architectures including diffusion models and transformers to achieve controllability, compute efficiency, and production readiness.

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 with infrastructure teams to optimize training and inference.

What you'll need#

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

Location & details#

• Location: San Francisco, California
• Term: Summer 2026
• Modality: On-site
• Employment: Full-time
• Compensation: Paid
• Sponsorship: Not provided