AI/ML Research Engineer

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