AI/ML Research Engineer

Job Summary

A company is looking for an AI/ML Research Engineer, LLM Post-Training & Evaluation.

Key Responsibilities

• Lead or co-lead technically complex ML engineering projects from initial discussions through implementation and delivery
• Design, build, and improve LLM training and post-training pipelines, including data ingestion and evaluation
• Implement and optimize evaluation systems for LLMs and multimodal models, integrating human-in-the-loop and AI-augmented signals

Required Qualifications

• BS/MS/PhD in Computer Science, Machine Learning, AI, Applied Mathematics, or a related technical field (MS/PhD preferred)
• 2-3 years of relevant industry or research engineering experience in ML/AI systems
• Hands-on experience with LLM training, fine-tuning, and post-training workflows
• Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)
• Experience designing and implementing evaluation pipelines for LLM/ML systems