LLM Researcher and Engineer

What you'll do

• Scale and optimize large-model training and inference workflows, including pre-training data pipelines and distributed or parallel training.
• Develop post-training techniques such as reinforcement learning, contrastive learning, and instruction tuning.
• Work on multimodal learning and integration of non-text modalities such as molecular graphs, 3D structures, and time series.

What they ask for

• Deep expertise in large-scale machine learning systems, LLM architecture and training, and/or multimodal learning.
• Strong Python programming skills.

Pay

$450,000–$1,000,000 USD annual base salary

Tools

Python

AI focus

Develop and apply LLMs for molecular science and drug discovery, covering pre-training, post-training, large-scale training and inference, and multimodal learning.