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Photorealistic Image Generation Developer

Judge MD

Photorealistic Image Generation Developer

San Francisco, CA
Full Time
Paid
  • Responsibilities

    Job Description

    Job Description

    We are seeking a skilled and creative ML/AI engineer to join our team. As an ML engineer you will be responsible for utilizing open-source diffusion image generation models to develop high-quality and visually appealing photorealistic images that incorporate the cosmetic medical procedure results.

    Responsibilities:

    • Implement and fine-tune open-source stable diffusion image generation models to generate photorealistic images.
    • Adapt and enhance existing models to achieve optimal results.
    • Explore and experiment with cutting-edge techniques and algorithms to improve image quality and realism.
    • Optimize and fine-tune models to enhance performance and efficiency.
    • Collaborate with the engineering and design teams to integrate image generation capabilities into a web application.
    • Conduct rigorous testing and troubleshooting to identify and resolve any issues or bugs.
    • Keep up-to-date with the latest advancements in the field of image generation and deep learning so that we can incorporate all advancements into our workflow.

    Qualifications:

    • Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field (or equivalent practical experience).
    • Strong understanding of deep learning principles, especially in the field of computer vision and image generation.
    • Proficiency in working with open-source stable diffusion image generation models, particularly those from Hugging Face and Civitai.
    • Solid programming skills in Python, with experience in frameworks such as TensorFlow or PyTorch.
    • Experience with deep learning libraries and tools, including CUDA, cuDNN, and GPU programming.
    • Familiarity with image processing techniques, algorithms, and tools.
    • Ability to analyze, troubleshoot, and optimize deep learning models for performance and efficiency.
    • Strong problem-solving skills and attention to detail.
    • Excellent communication and teamwork abilities.

    Preferred Qualifications:

    • Experience working with generative adversarial networks (GANs) or variational autoencoders (VAEs).
    • Knowledge of additional programming languages, such as C++ or Java.
    • Experience with version control systems (e.g., Git) and collaborative software development practices.

    Join our dynamic team and contribute to cutting-edge advancements in photorealistic image generation. If you are passionate about deep learning and have a keen eye for visual aesthetics, we look forward to receiving your application.

    Company Description

    Judge MD is a modern and progressive Plastic Surgery clinic, started by a double board certified plastic and general surgeon, Dr. Tanya Judge. She aims to build a strong community initially in San Francisco, and eventually expanding globally, who love beauty, personal health, and philanthropy. The clinic is co-founded by Sugam Arora, a tech executive, who has developed innovative customer experiences such as a first of its kind virtual consultation experience for surgical procedures.

    Company Description

    Judge MD is a modern and progressive Plastic Surgery clinic, started by a double board certified plastic and general surgeon, Dr. Tanya Judge. She aims to build a strong community initially in San Francisco, and eventually expanding globally, who love beauty, personal health, and philanthropy. The clinic is co-founded by Sugam Arora, a tech executive, who has developed innovative customer experiences such as a first of its kind virtual consultation experience for surgical procedures.