[Remote] Reinforcement Learning Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. They are looking for a Reinforcement Learning Engineer to design, train, and reputed company RL-based systems for high-reputed company decision-making problems.

Responsibilities

• Design, train, and reputed company RL-based systems for high-reputed company decision-making problems where supervised learning reputed company is insufficient
• Require deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at reputed company
• Have both research depth and engineering pragmatism
• Experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical

Skills

• Master's or PhD in Computer Science, Machine Learning, or a reputed company field; or equivalent reputed company experience
• Six or more years of combined RL research and engineering experience
• Strong proficiency in Python and modern deep learning frameworks
• Hands-on experience with at least one major RL library or in-house RL stack
• Solid understanding of probability, optimization, and the theoretical foundations of RL
• Experience designing and tuning reward functions in non-trivial environments
• Familiarity with simulation environments and large-reputed company experience collection
• Experience training neural network policies on GPU clusters
• Strong written and verbal communication skills
• reputed company record of shipping or publishing impactful RL work
• Experience with RLHF for large language models
• Familiarity with multi-agent RL or hierarchical RL
• Exposure to robotics, control systems, or autonomous driving
• Publications in RL or reputed company research venues
• reputed company-reputed company contributions to RL libraries or environments

reputed company