AI Research Scientist (Generative Models)

About the Role

Our client is looking for an innovative AI Research Scientist focused on Generative Models to join their advanced research group. This role is fully remote, allowing you to contribute to groundbreaking AI research from anywhere. You will explore, develop, and refine cutting-edge generative AI techniques, including GANs, VAEs, and diffusion models, to create novel content, enhance data, and solve complex problems. This is an exciting opportunity to push the boundaries of AI creativity and utility.

Key Responsibilities

• Conduct fundamental and applied research in generative AI models and techniques.
• Develop and implement novel algorithms for tasks such as image generation, text synthesis, and data augmentation.
• Evaluate and benchmark generative models for performance, creativity, and robustness.
• Collaborate with engineering teams to integrate research prototypes into practical applications.
• Publish research findings in top-tier AI conferences and journals.
• Stay abreast of the latest advancements in the field of generative AI and machine learning.

Requirements

• PhD in Computer Science, Machine Learning, AI, or a related field with a focus on generative models.
• 3+ years of research experience in generative AI, deep learning, or related areas.
• Strong programming skills in Python and experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Proven track record of impactful research, demonstrated through publications or significant project contributions.
• Deep understanding of various generative model architectures and training methodologies.
• Excellent communication and collaboration skills for effective remote work.

Benefits

• Highly competitive salary and research-focused bonuses.
• Fully remote working environment with flexible hours.
• Comprehensive health and wellbeing benefits.
• Significant budget for attending conferences and accessing research resources.
• Opportunity to shape the future of generative AI.