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+ professionals working on cutting-edge solutions in AI/ML, cloud computing, and digital transformation.

We offer competitive salaries, flexible work arrangements, and opportunities for career growth across our global offices.

📌 Reinforcement Learning Engineer (Montreal)
🏢 Appit
📍 Montreal