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About Cropy AI
Cropy AI is a U.S.-based startup building next-generation AI solutions for automotive image and video editing. Our flagship product powers vehicle background replacement and advanced generative editing for clients in over 30 countries worldwide. We are now expanding our R&D team in Germany to accelerate innovation in diffusion-based image editing and video generation.
Role & Responsibilities
We are looking for an experienced Machine Learning Engineer to join our research team. The ideal candidate will have deep expertise in generative AI, diffusion models, and applied research in computer vision.
Responsibilities:
• Research, design, and implement state-of-the-art diffusion models for image editing and video generation.
• Collaborate with cross-functional teams to deploy models into production at scale.
• Publish high-impact results at top-tier academic conferences and represent Cropy AI in the research community.
• Mentor junior researchers and contribute to our growing ML research culture.
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Requirements
• Msc or PhD in Computer Science, Machine Learning, or related field, or currently enrolled in a PhD program.
• 5+ years of professional work experience in machine learning, computer vision, or related fields.
• Strong research background preferably with publications in top-tier academic conferences (CVPR, NeurIPS, ICCV, ICML, etc.).
• Proven hands-on experience with diffusion models and familiarity with recent advancements in image editing & video generation.
• Excellent communication skills and fluency in English.
• Strong coding skills in Python and deep learning frameworks (PyTorch, TensorFlow).
What We Offer
• Opportunity to work on cutting-edge generative AI research with real-world impact.
• A collaborative, international team with global operations.
• Flexibility: Remote work options available in Germany.
• Support for attending top academic conferences.
👉 If you’re passionate about pushing the boundaries of diffusion models and want to be part of a fast-growing U.S. startup with global reach, we’d love to hear from you.
Apply via LinkedIn or contact us directly at [email protected]
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