Autonomous Learning Engineer

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.Job TitleAutonomous Learning EngineerLocation: 100% Remote (U.S.)Position Type: Full-time, Direct W2Salary Range: $130,000–$180,000 AnnuallyExperience Required: 10+ YearsSponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.Job SummaryBright Vision Technologies is seeking a highly experienced Autonomous Learning Engineer with 10+ years of experience in Artificial Intelligence, Reinforcement Learning (RL), and Deep Learning to design, train, and deploy intelligent decision-making systems for complex real-world applications. The ideal candidate will possess deep expertise in Python, reinforcement learning, deep learning, simulation environments, distributed training, and RLHF (Reinforcement Learning from Human Feedback) while driving the architecture and deployment of scalable, production-ready autonomous learning solutions.Key ResponsibilitiesDesign, develop, and deploy advanced reinforcement learning solutions for complex decision-making and autonomous systemsArchitect scalable reinforcement learning training pipelines using distributed computing and GPU-accelerated infrastructureDesign, build, and optimize simulation environments for training and validating reinforcement learning agentsDevelop, implement, and evaluate modern RL algorithms, reward models, and policy optimization techniquesBuild autonomous learning systems leveraging RLHF, imitation learning, offline reinforcement learning, and multi-agent learning approachesImprove model convergence, sample efficiency, training stability, inference performance, and production scalabilityIntegrate reinforcement learning models into production applications while ensuring reliability, safety, monitoring, and continuous improvementCollaborate with AI researchers, data scientists, software engineers, and product teams to deliver enterprise-scale AI solutionsMentor engineers and provide technical leadership on reinforcement learning architecture, experimentation, and engineering best practicesEvaluate emerging reinforcement learning frameworks, algorithms, and research to drive continuous innovationRequired QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, Mathematics, or a related technical discipline10+ years of professional experience in Artificial Intelligence, Machine Learning, Deep Learning, or Reinforcement LearningExpert-level programming skills in Python and extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAXStrong experience with reinforcement learning libraries such as Ray RLlib, Stable-Baselines3, CleanRL, or AcmeHands-on experience developing simulation environments using tools such as Gymnasium/OpenAI Gym, Isaac Sim, MuJoCo, Unity ML-Agents, or NVIDIA OmniverseExperience with distributed training, GPU acceleration, model optimization, and large-scale AI infrastructureStrong understanding of reinforcement learning theory, optimization, probability, stochastic processes, and decision-making algorithmsExperience deploying AI solutions on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP)Excellent analytical, communication, collaboration, and technical leadership skillsPreferred QualificationsExperience with RLHF, multi-agent reinforcement learning, robotics, autonomous systems, or control systemsHands-on experience with foundation models, LLM alignment, agentic AI, or autonomous AI agentsExperience with MLOps, Kubernetes, Docker, CI/CD pipelines, and production AI deploymentPublications in top AI conferences, open-source contributions, patents, or recognized technical leadership in reinforcement learningKnowledge of Responsible AI, AI safety, model governance, explainability, and regulatory compliancePh.D. or Master's degree specializing in Artificial Intelligence, Machine Learning, Reinforcement Learning, Robotics, or Control SystemsInterested in this opportunity? Apply today for immediate consideration!Email your updated resume: jaya@bvteck.comCall or Text: (908) 505-3545Learn more: www.bvteck.comBright Vision Technologies is an Equal Opportunity Employer.Equal Employment Opportunity (EEO) StatementBright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.Powered by JazzHRBfZgHoGE3X