Remote Principal Machine Learning Engineer

Description:

• Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers.
• The software empowers brands to rapidly understand consumer demand and create unique designs within minutes.
• The company leverages cutting-edge AI analytics and generative AI capabilities to help fashion brands revolutionize their design and merchandising processes.
• This is a full-time remote role for a Principal Machine Learning Engineer at Raspberry AI.
• The company is a Series A startup, backed by top-tier venture capital firms such as Andreessen Horowitz, Khosla Ventures, MVP, and Greycroft.
• The Principal Machine Learning Engineer will focus on improving the quality and performance of cutting-edge diffusion models in the fashion domain.
• Additional responsibilities may be assigned as business needs evolve.

Requirements:

• A Master's or Ph.D. in Computer Science, Machine Learning, or a related field is required.
• Candidates must have 5+ years of industry experience.
• A strong theoretical and practical understanding of deep learning, particularly in generative models (e.g., GANs, VAEs, Diffusion Models) is essential.
• Hands-on experience with deep learning frameworks such as PyTorch is necessary.
• Experience with training and evaluating generative models on cloud GPU platforms (e.g., AWS, GCP, Azure) is required.
• Proficiency in using and tuning multimodal LLMs, including experience with both API-based and open-source model implementations, is expected.

Benefits:

• The position offers the opportunity to work in a dynamic and innovative startup environment.
• Employees will have the chance to contribute to cutting-edge research and development in the field of generative AI.
• The role allows for remote work, providing flexibility in the work environment.
• Team members will collaborate closely with talented professionals in the machine learning field.