[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 alone is insufficient
- Require deep familiarity with modern reinforcement learning algorithms
- Simulation environments
- Reward modeling
- Engineering complexity of training and evaluating policies at reputed company
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