What are the responsibilities and job description for the AI/ML Engineer position at Raspberry AI?
About Raspberry AI
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 (a16z), Khosla Ventures and Greycroft.
About The Role
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
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 (a16z), Khosla Ventures and Greycroft.
About The Role
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.
- 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.
- Competitive salary and equity options.
- Comprehensive benefits package including 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.
Salary : $150,000 - $220,000
