[Remote] AI Learning Systems 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 an AI Learning Systems 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
- Requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at reputed company
- Has both research depth and engineering pragmatism, with 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