[Remote] Autonomous Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The company is seeking an Autonomous Learning Engineer to design, train, deploy, and optimize scalable reinforcement learning and autonomous decision-making systems. The role involves architecting distributed training pipelines, developing simulation environments and RL algorithms, integrating production AI solutions, and providing technical leadership.

Responsibilities

• Design, develop, and deploy advanced reinforcement learning solutions for complex decision-making and autonomous systems
• Architect scalable reinforcement learning training pipelines using distributed computing and GPU-accelerated infrastructure
• Design, build, and optimize simulation environments for training and validating reinforcement learning agents
• Develop, implement, and evaluate modern RL algorithms, reward models, and policy optimization techniques
• Build autonomous learning systems leveraging RLHF, imitation learning, offline reinforcement learning, and multi-agent learning approaches
• Improve model convergence, sample efficiency, training stability, inference performance, and production scalability
• Integrate reinforcement learning models into production applications while ensuring reliability, safety, monitoring, and continuous improvement
• Collaborate with AI researchers, data scientists, software engineers, and product teams to deliver enterprise-scale AI solutions
• Mentor engineers and provide technical leadership on reinforcement learning architecture, experimentation, and engineering best practices
• Evaluate emerging reinforcement learning frameworks, algorithms, and research to drive continuous innovation

Skills

• * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Mathematics, or a related technical discipline
• * 10+ years of professional experience in Artificial Intelligence, Machine Learning, Deep Learning, or Reinforcement Learning
• * Expert-level programming skills in Python and extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
• * Strong experience with reinforcement learning libraries such as Ray RLlib, Stable-Baselines3, CleanRL, or Acme
• * Hands-on experience developing simulation environments using tools such as Gymnasium/OpenAI Gym, Isaac Sim, MuJoCo, Unity ML-Agents, or NVIDIA Omniverse
• * Experience with distributed training, GPU acceleration, model optimization, and large-scale AI infrastructure
• * Strong understanding of reinforcement learning theory, optimization, probability, stochastic processes, and decision-making algorithms
• * Experience deploying AI solutions on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)
• * Excellent analytical, communication, collaboration, and technical leadership skills
• * Experience with RLHF, multi-agent reinforcement learning, robotics, autonomous systems, or control systems
• * Hands-on experience with foundation models, LLM alignment, agentic AI, or autonomous AI agents
• * Experience with MLOps, Kubernetes, Docker, CI/CD pipelines, and production AI deployment
• * Publications in top AI conferences, open-source contributions, patents, or recognized technical leadership in reinforcement learning
• * Knowledge of Responsible AI, AI safety, model governance, explainability, and regulatory compliance
• * Ph.D. or Master's degree specializing in Artificial Intelligence, Machine Learning, Reinforcement Learning, Robotics, or Control Systems

Benefits

• 100% Remote (U.S.)
• Full-time, Direct W2
• Tremendous career growth potential

Company Overview