APPIT Software Solutions

is hiring a

Reinforcement Learning Engineer

in

Montreal, Canada . Design reinforcement learning systems at APPIT Software in Montreal, building adaptive AI agents for optimization, autonomous decision-making, and RLHF alignment of large language models. Responsibilities

Design and implement reinforcement learning algorithms for enterprise optimization problems Build RLHF and reward modeling pipelines for LLM alignment and fine-tuning Develop simulation environments for training and evaluating RL agents Implement multi-agent reinforcement learning systems for complex coordination tasks Optimize RL training stability and sample efficiency using state-of-the-art techniques Collaborate with research teams to translate RL advances into production applications Requirements

5+ years of ML experience with 2+ years focused on reinforcement learning Deep knowledge of RL algorithms (PPO, SAC, DQN, MCTS, and their variants)



Experience with RL frameworks (Stable-Baselines3, RLlib, CleanRL) Strong mathematical background in dynamic programming, control theory, and optimization Experience with RLHF for language model alignment Proficiency in PyTorch and experience with parallel environment simulation Nice to Have

Publications in RL research (NeurIPS, ICML, ICLR) Experience with robotics or autonomous systems Knowledge of offline RL and decision transformers About APPIT Software Solutions

APPIT Software Solutions is a leading technology company building AI-powered enterprise products. Join 150+ professionals working on cutting-edge solutions in AI/ML, cloud computing, and digital transformation. We offer competitive salaries, versatile work arrangements, and opportunities for career growth across our global offices.

#J-18808-Ljbffr

📌 Reinforcement Learning Engineer (Winnipeg)
🏢 Appit
📍 Winnipeg