Member of Technical Staff, Post-Training (India)
Core
Design and build post-training systems, evaluation frameworks, and data pipelines to improve frontier AI models.
Role type
Senior IC machine learning engineer (post-training)
Builds
Post-training systems, evaluation frameworks, data pipelines, and reusable AI platforms
Domain
Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, experimental design, system design, hypothesis formulation, data pipeline construction, RLHF/DPO/SFT methodologies
Preferred skills
Large-scale ML training systems, LLM/agent benchmarks, reinforcement learning, published research, open-source contributions
Technologies
Python, PyTorch
Responsibilities
Design post-training methodologies (SFT, RL, preference optimization); translate research needs into experiments and production implementations; build evaluation frameworks and data-processing pipelines; run iteration loops to prototype and evaluate; partner with researchers to develop high-signal data methods; productize repeatable patterns into software platforms.
Seniority
Senior, hands-on IC
