Qualifications
Key ResponsibilitiesEngage in applied research and experimentation with advanced diffusion model architectures and training methodologies.Develop and assess innovative techniques to enhance the quality and controllability of generated designs.Interpret experimental data, derive significant conclusions, and communicate results effectively.Collaborate closely with the team to convert prototypes into production-ready systems.Stay updated on the latest trends and research in diffusion models, deep learning, and generative AI.Required QualificationsMaster's or Ph.D. in Computer Science, Machine Learning, or related discipline, with over 3 years of industry experience.Extensive theoretical and practical knowledge of deep learning, particularly in generative models (e.g., GANs, VAEs, Diffusion Models).Proficient in using deep learning frameworks such as PyTorch.Experience training and evaluating generative models on cloud GPU platforms (e.g., AWS, GCP, Azure).Skilled in using and tuning multimodal LLMs, including both API-based and open-source model implementations.Capable of conveying complex technical concepts to both technical and non-technical audiences.
About the job
Join Raspberry AI as a Senior Machine Learning Engineer
At Raspberry AI, we are at the forefront of revolutionizing the fashion industry with our cutting-edge AI design software. We empower fashion brands and retailers to swiftly analyze consumer demand and create distinctive designs in mere minutes. With our advanced AI analytics and generative AI capabilities, we are changing the design and merchandising landscape for fashion.
As a Series A startup, we are proudly backed by leading venture capital firms, including Andreessen Horowitz, Khosla Ventures, MVP, and Greycroft.
Your Role
We invite a skilled and enthusiastic Senior Machine Learning Engineer to our expanding ML team in this full-time remote position. Your primary focus will be on enhancing the quality and efficacy of our state-of-the-art diffusion models, pushing the frontiers of generative AI in the fashion sector.
As business needs evolve, additional responsibilities may be assigned.
