Company Description

All potential candidates should read through the following details of this job with care before making an application.

Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software helps companies understand consumer demand and create unique designs in minutes, leading to high purchase likelihood and increased revenue. By translating insights into inclusive marketing campaigns and virtual photoshoots, we enable brands to connect authentically with diverse audiences. Company Description

Raspberry AI is a leading provider of industry-defining AI design software for fashion brands and retailers. Our software helps companies understand consumer demand and create unique designs in minutes, leading to high purchase likelihood and increased revenue. By translating insights into inclusive marketing campaigns and virtual photoshoots, we enable brands to connect authentically with diverse audiences.

We recently closed $24 million in Series A from a16z, plus seed rounds from Khosla Ventures and Greycroft Ventures. Other investors include REVOLVE and Reformation founders, and the President of Saks Fifth Avenue. For more information, visit raspberry.ai.

Role Description

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.

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.

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