Research Engineer/Scientist

📋 Description

• Own LLM mid-training and post-training research, including continued pretraining, SFT, preference
• Research and prototype novel agentic architectures and algorithms across planning, reasoning
• Design and build research harnesses and experimentation methodologies that enable systematic
• Define evaluation methodologies and develop novel benchmarks for measuring agent reasoning
• Identify systematic model and agent failure patterns, determine their root causes, and translate
• Independently identify research problems, formulate novel hypotheses, and drive projects from

🎯 Requirements

• 3+ years of experience in machine learning, deep learning, AI research, or a related field, with
• Hands-on experience with LLM training and post-training, including one or more of continued
• Strong Python and advanced PyTorch expertise, with experience modifying models, training pipelines
• Strong practical depth in agentic AI and context engineering, including planning, reasoning
• Experience designing evaluation methodologies, not just running evaluations, including benchmark
• Demonstrated research ownership and impact, with the ability to identify important research

🎁 Benefits

• Work personas categorized as flexible, remote, or required in office depending on nature of work
• Equal opportunity employer
• Reasonable accommodations for candidates
• Export control regulations compliance