Senior Software Engineer - Model Training & AI Evals - Chegg

Key Responsibilities

• Design and maintain the end‑to‑end evaluation and benchmarking infrastructure for large language models.
• Develop and optimize post‑training pipelines for industry‑specific foundation models.
• Create synthetic datasets to target identified capability gaps and failure modes.
• Define and refine skill taxonomies, evaluation metrics, and success criteria for model assessment.
• Collaborate with research and product teams to integrate evaluation results into the model improvement cycle.

Requirements

• 5+ years of software engineering experience in AI/ML, with a focus on large language models.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Strong background in evaluation methodology, metric design, and benchmarking at scale.
• Experience generating synthetic data and working with large datasets.
• Excellent problem‑solving skills and ability to communicate complex concepts to cross‑functional teams.