Job DescriptionHiring: Benjamin RL NnWe’re training the next generation of Vedika models. NnThis role sits directly inside RL and post-training research: designing how the model learns after pretraining, how it improves from interaction, how it handles long-horizon tasks, and how we push capability beyond standard instruction tuning. NnYou’ll workon: N
RL training for next-generation Vedika models N
GRPO, PPO, DPO and newer post-training methods N
Reward models, process rewards and verifiers N
Long-horizon reasoning and agent trajectories N
Tool-use and computer-use reinforcement N
Self-improvement and synthetic training loops N
Multi-turn behaviour and memory training N
Failure mining from model trajectories N
Evaluation systems for reasoning, autonomy and reliability N
Research experiments that can become part of the next model generation NnCompensation: N₹2.6 LPA fixedn₹3.6 LPA CTC NnWork mode:



Fully remote NnYou’ll get: N
Mac for developmentn
Claude N
Codexn
Seriouscompute and research infrastructure N
₹10L–₹50L+ yearly AI/token spend available across the team and experiments NnThis is nota role for someone whose idea of model work ends at prompting or basic fine-tuning. NnWe want someone who can understand a training run, break it, diagnose it, redesign it and make the next model measurably better. NnStrong PyTorch, RL fundamentals, post-training, distributed training and hands-on experimentation matter far more than credentials. NnRole: Benjamin RL NVedika — Next Generation Models NnSend your work, experiments, papers, repos or anything you trained that genuinely got better.

📌 Benjamin Rlhf Mumbai
🏢 Vedika API
📍 Mumbai