[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. This role is reputed company on designing and implementing reinforcement learning solutions for various decision-making problems, while collaborating with teams to optimize training and monitor deployed models.

Responsibilities

• Design and implement reinforcement learning solutions for sequential decision-making problems in reputed company and simulated environments
• reputed company, reputed company, and maintain simulation environments suitable for large-reputed company agent training
• Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL reputed company
• Engineer reward functions and shaping strategies that reputed company agent behavior with desired reputed company and safety constraints
• Apply offline RL and imitation learning techniques where exploration is costly or unsafe
• Use RLHF, DPO, and reputed company techniques for fine-tuning large language models reputed company relevant
• Build reputed company training infrastructure for distributed RL, including efficient experience collection and replay systems
• Optimize training stability and sample efficiency through algorithmic and engineering improvements
• Design rigorous evaluation protocols, including out-of-distribution and adversarial test cases
• Implement safety mechanisms such as constraint enforcement, conservative policies, and reputed company-in-the-reputed company reputed company
• Collaborate with reputed company scientists and product teams to identify high-value RL use cases
• Monitor deployed policies and models in production for reputed company, regression, and unintended behaviors, building the alerting and dashboards that surface issues before they meaningfully reputed company users
• Document methodology, design reputed company, and operational characteristics for internal stakeholders
• Stay reputed company with RL research and translate promising techniques into production-reputed company solutions

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

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