Senior ML Research Engineer/Scientist

Overview

Senior ML Research Engineer/Scientist to lead LLM mid-training and post-training research, including training, analytics, and evaluation for agentic systems.

What you'll do

• Conduct LLM mid-training and post-training research covering continued pretraining, SFT, preference optimization, and RL.
• Make data-mixture and experimental decisions and assess how training changes affect downstream agent behavior.
• Research and prototype agentic architectures and algorithms across planning, reasoning, memory, skills, tool use, retrieval, and multi-agent collaboration.
• Design and build research harnesses for systematic experimentation, trajectory analysis, reproducibility, and rigorous comparisons.
• Define evaluation methodologies and develop benchmarks for agent reasoning, planning, tool use, reliability, factuality, and safety.
• Identify model and agent failure patterns, determine root causes, and translate findings into new research directions or improvements.

What you'll need

• 5+ years of experience in machine learning, deep learning, AI research, or a related field.
• Applied research experience with a track record of independently driving research projects.
• Hands-on experience with LLM training and post-training, including one or more of continued pretraining, SFT, preference optimization, or RL.
• Strong Python and advanced PyTorch expertise supporting novel experimentation.
• Strong practical depth in agentic AI and context engineering, including planning, reasoning, memory, skills, tool use, retrieval, long-context processing, and knowledge grounding.
• Experience designing evaluation methodologies including benchmark design, trajectory-based evaluation, LLM-as-a-Judge, and human evaluation.

Details

• Location: Hyderabad, India.