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 (Secure-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+ specialists working on cutting-edge solutions in AI/ML, cloud computing, and digital transformation. We offer competitive salaries, flexible work arrangements, and opportunities for growth opportunities across our global offices.

📌 Reinforcement Learning Engineer Montreal
🏢 Appit
📍 Montreal