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    Raspberry AI

    Artificial Intelligence

    Senior Machine Learning Engineer

    United States, United StatesRemoteFull-timePosted 1mo ago
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    Job description

    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, Khosla Ventures, MVP and Greycroft.

    About the Role

    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.

    Additional responsibilities may be assigned as business needs evolve.

    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.

    Requirements

    • 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.

    Job details are sourced from the employer's original posting.

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    RA

    About the company

    Raspberry AI

    Raspberry AI is a company focused on developing AI-powered solutions.

    View all Raspberry AI jobs
    Industry
    Artificial Intelligence
    Open roles
    6

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