Hiring: Autonomous Learning Engineer Company: Bright Vision Technologies Location: New Albany, OH Job Posted Time: 2026-09-15 19:56:56 Employment Type: Full-time, Direct W2 Target Skills & Keywords: Artificial Intelligence, Reinforcement Learning (RL), Deep Learning, Python, RLHF, Simulation Environments, Distributed Training, GPU Acceleration, PyTorch, TensorFlow, JAX, Ray RLlib, Stable-Baselines3, CleanRL, Acme, Gymnasium/OpenAI Gym, Isaac Sim, MuJoCo, Unity ML-Agents, NVIDIA Omniverse, MLOps, Kubernetes, Docker, CI/CD, Multi-Agent Learning, Imitation Learning, Offline RL, Agentic AI, LLM Alignment, Responsible AI Experience: - 10+ years of professional experience in Artificial Intelligence, Machine Learning, Deep Learning, or Reinforcement Learning - Proven track record of designing, training, and deploying intelligent decision-making systems for complex real-world applications - Experience mentoring engineers and providing technical leadership on RL architecture, experimentation, and engineering best practices Required Skills: - Expert-level programming in Python - 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 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 RL theory, optimization, probability, stochastic processes, and decision-making algorithms - Experience deploying AI solutions on AWS, Microsoft Azure, or Google Cloud Platform (GCP) - Excellent analytical, communication, collaboration, and technical leadership skills Qualifications: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Mathematics, or a related technical discipline - Preferred: Ph.D. or Master's specializing in AI, Machine Learning, Reinforcement Learning, Robotics, or Control Systems - Preferred: Experience with RLHF, multi-agent RL, robotics, autonomous systems, or control systems - Preferred: Hands-on experience with foundation models, LLM alignment, agentic AI, or autonomous AI agents - Preferred: Experience with MLOps, Kubernetes, Docker, CI/CD pipelines, and production AI deployment - Preferred: Publications in top AI conferences, open-source contributions, patents, or recognized technical leadership in RL - Preferred: Knowledge of Responsible AI, AI safety, model governance, explainability, and regulatory compliance - Work authorization: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates encouraged to apply (no new H-1B sponsorship available) Compensation: $130,000–$180,000 Annually Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!