PhD Engineer - AI Model Training

Key Responsibilities

• Produce authoritative written responses to complex engineering prompts, ensuring technical accuracy and relevance to AI model training.
• Review, synthesize, and interpret scientific literature to extract data and insights that inform model development.
• Generate curated datasets, annotations, and benchmark cases that improve model learning across multidisciplinary domains.
• Collaborate with AI researchers and software engineers to integrate domain‑specific knowledge into training pipelines.
• Validate model outputs against engineering standards and provide feedback for iterative improvement.

Requirements

• PhD in Electrical, Mechanical, Chemical Engineering, or a closely related field.
• Strong programming skills in Python with hands‑on experience using TensorFlow or PyTorch.
• Proven ability to conduct literature reviews, extract quantitative data, and translate it into machine‑readable formats.
• Solid understanding of machine‑learning concepts, data preprocessing, and model evaluation.
• Excellent technical writing and communication skills for delivering clear, concise engineering explanations.