LLM Post-training Engineer Graduate (Research & Product) - 2027 Start

What you'll do

• Develop and optimize post-training strategies, including instruction and preference tuning and model alignment.
• Help build evaluation pipelines and research reward modeling and human preference learning.
• Analyze large-scale datasets and collaborate on moving research into production applications such as video understanding, translation, and content classification.

What they ask for

• Completing or recently completed a Bachelor's degree in Computer Science, Machine Learning, or a related discipline.
• Strong Python programming skills and experience with PyTorch or JAX.
• Foundational understanding of Transformer architectures and LLM training principles.
• Ability to learn quickly in a fast-paced environment and strong interest in applying AI to products.

Nice to have

• Experience or research involving LLM fine-tuning, RLHF, or synthetic data generation; familiarity with DeepSpeed or Megatron-LM.
• Experience or interest in multimodal AI and a record of building or deploying AI projects.

Tools

Python, PyTorch, JAX, DeepSpeed, Megatron-LM

AI focus

LLM post-training, instruction and preference tuning (SFT/DPO/PPO), model alignment, evaluation, reward modeling, human preference learning, and multimedia AI applications.