Raspberry AI is a leading provider of AI design software for fashion brands and retailers, helping companies understand consumer demand and create unique designs quickly to support inclusive marketing campaigns and virtual photoshoots.

Role Description This is a full-time remote role for a Senior Machine Learning Engineer at Raspberry AI. You will focus on improving the quality and performance of diffusion models and advancing generative AI in the fashion domain.

Key Responsibilities

• 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, draw meaningful conclusions, and communicate findings effectively.
• Collaborate closely with the team to translate prototypes into production-ready systems.
• Stay abreast of the latest advancements in diffusion models, deep learning, and generative AI research.

Qualifications

• 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.

Benefits

• Competitive salary and equity options.
• Comprehensive benefits package including 401k, health, dental, and vision insurance.
• Opportunity to work on cutting-edge AI technology with a high-impact team.
• Fully remote and a supportive company culture.
• Be part of a rapidly growing company with significant growth potential.

Location: Remote