Data Scientist – Multimodal Training Data & Tools – SIML

We are seeking an experienced data scientist to help us build and deploy large scale generative models. Responsibilities include training ad-hoc models for data synthesis, build data pipelines and tools for large-scale data auto-grading across text and image, prompt engineering and optimization, and extracting insights from billion-scale datasets to enable the model training.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering/Computer Science or a related field
• 3+ years of data science or related experience
• Experience developing models for data synthesis and auto-grading to enable training generative models
• Experience in prompt engineering and optimization for LLMs
• Strong programming and problem-solving skills