We bring the best industry-leading generative AI capabilities to fashion product development.
Innovative
We thrive at the forefront of AI, pursuing ambitious goals through iterative progress and rapid adaptation. We embrace continuous learning and experimentation, fostering a culture of growth and innovation.
Collaborative
We value open communication, constructive feedback, and mutual support. We operate with a "low ego" approach where everyone's contributions are valued, and team success takes precedence. We encourage direct and respectful interaction among colleagues, fostering a collaborative and inclusive environment where diverse perspectives drive AI breakthroughs.
Customer-Centric
We are deeply customer-obsessed and prioritize delivering exceptional AI-powered solutions. We empower our team to take ownership of their work and focus on practical implementation over excessive documentation. We strive for excellence in everything we do, ensuring impactful results that exceed customer expectations and advance the field of AI.
AI/ML Engineer
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
- 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 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.
Full Stack Engineer
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 Software Engineer to join our growing team. In this role, you will play a critical part in developing and enhancing core components of our AI-powered design platform.
Key Responsibilities
- Design, develop, and maintain a frontend generative AI web app (React/NextJS/Typescript), as well as related backend services (FastAPI/Python)
- Develop and maintain RESTful APIs for seamless integration with frontend applications.
- Collaborate closely with machine learning engineers to translate prototypes into production-ready systems.
- Participate in all phases of the software development lifecycle, including design, implementation, testing, and deployment.
Qualifications
- Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
- 3+ years of industry experience.
- Strong programming skills in Python. Experience with cloud platforms like GCP or AWS (e.g., serverless functions, containerization). Familiarity with data analysis tools like BigQuery.
- Experience with building web applications and user interfaces for AI products.
- Experience with machine learning libraries (e.g., TensorFlow, PyTorch, Huggingface) is a plus.
- A creative and problem-solving mindset with an eagerness to explore new technologies like LLMs.
- Excellent communication and collaboration skills.
Benefits
- 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.
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