The creative assistant you deserve. Use Raspberry AI to precisely visualize trends, fabrics, trims, prints, stitch details, and silhouettes. Backed by a16z.
About the role
This is a full-time remote role for a Senior Machine Learning Engineer at Raspberry AI. We are seeking a highly talented and motivated Machine Learning Engineer to join our growing ML team. In this role, you will focus on improving the quality and performance of our cutting-edge diffusion models, pushing the boundaries of generative AI in the fashion domain. Additional responsibilities may be assigned as business needs evolve.
What they're looking for
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field. 3+ years of industry experience
- Strong theoretical and practical understanding of deep learning, with a focus on generative models (e.g., GANs, VAEs, Diffusion Models)
- Hands-on experience with deep learning frameworks such as PyTorch
- Experience with training and evaluating generative models on cloud GPU platforms (e.g., AWS, GCP, Azure)
- Proficiency in using and tuning multimodal LLMs, including experience with both API-based and open-source model implementations
- Ability to effectively present complex technical information to both technical and non-technical audiences
More about this role
Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software empowers brands to rapidly understand consumer demand and create unique designs within minutes. Leveraging cutting-edge AI analytics and generative AI capabilities, we help fashion brands revolutionize their design and merchandising processes.
We are a Series A startup, backed by top-tier venture capital firms such as Andreessen Horowitz, Khosla Ventures, MVP and Greycroft.
This is a full-time remote role for a Senior Machine Learning Engineer at Raspberry AI. We are seeking a highly talented and motivated Machine Learning Engineer to join our growing ML team. In this role, you will focus on improving the quality and performance of our cutting-edge diffusion models, pushing the boundaries of generative AI in the fashion domain.
Additional responsibilities may be assigned as business needs evolve.
Conduct applied research and experimentation on state-of-the-art diffusion model architectures and training techniques.
Implement and evaluate novel techniques for improving quality and controllability in generated designs.
Analyze and interpret experimental results,...
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