Description

You will own the research, implementation, and optimization of generative AI models.

Responsibilities

• Conduct research and experimentation with open source and closed source GenAI models, testing architectures, loss functions, and training strategies.
• Design and implement custom GenAI models tailored to specific data types and structures to meet accuracy requirements.
• Optimize and fine-tune models using techniques such as progressive growing, self-attention mechanisms, or unsupervised learning.
• Implement control techniques for model output, including vectorized embeddings, conditional generation, style transfer, and interactive editing.
• Analyze, evaluate, and retrain models using quantitative metrics and qualitative assessments to improve robustness and generalization.

Required Skills

• 5+ years of experience in data science or related fields.
• Deep understanding of GenAI architectures and training methodologies.
• Experience working with diverse data types and data structures.
• Practical knowledge of fine-tuning and optimizing generative models.
• Ability to implement advanced techniques like self-attention or conditional generation.
• Experience with quantitative model evaluation and iterative retraining.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Familiarity with both open source and closed source GenAI ecosystems.

Key Skills

Education

Any Graduate