Autonomous Learning Engineer

• Design and implement reinforcement learning solutions for real-world applications.
• Develop and optimize simulation environments and RL training pipelines.
• Implement and evaluate modern RL algorithms and reward models.
• Improve model performance, training stability, and sample efficiency.
• Collaborate with AI and product teams to deploy production-ready RL solutions.
• Monitor deployed models and ensure reliability, safety, and continuous improvement.

We are seeking an Autonomous Learning Engineer to design, train, and deploy reinforcement learning (RL) solutions for complex decision-making systems. The ideal candidate will have expertise in Python, deep learning, reinforcement learning, simulation environments, RLHF, and distributed training, with experience building scalable, production-ready AI solutions., * 6+ years of experience in reinforcement learning research and engineering.

• Strong proficiency in Python and modern deep learning frameworks.
• Experience with RL libraries, simulation environments, GPU-based training, and distributed learning.
• Strong understanding of reinforcement learning, optimization, and probability.

Preferred Qualifications:

• Experience with RLHF, multi-agent RL, robotics, autonomous systems, or control systems.
• Publications or open-source contributions in reinforcement learning.

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.