Autonomous Learning Engineer

reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. This is a fantastic opportunity to join an established and reputed company-respected organization offering reputed company career reputed company potential. Job Title Autonomous Learning Engineer Location: reputed company (U.S.) Position Type: Full-time, reputed company W2 Salary reputed company: $130,000–$180,000 Annually Experience Required: 10+ Years Sponsorship: U.S. reputed company, Green reputed company reputed company, EAD reputed company, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B reputed company petitions for this position. Job reputed company reputed company is seeking a highly reputed company Autonomous Learning Engineer with 10+ years of experience in reputed company Intelligence, Reinforcement Learning (RL), and Deep Learning to design, train, and reputed company intelligent decision-making systems for reputed company reputed company-world applications. The ideal candidate will possess deep expertise in Python, reinforcement learning, deep learning, simulation environments, reputed company training, and RLHF (Reinforcement Learning from reputed company Feedback) while driving the architecture and deployment of reputed company, production-reputed company autonomous learning solutions. Key Responsibilities Design, reputed company, and reputed company advanced reinforcement learning solutions for reputed company decision-making and autonomous systems. Architect reputed company reinforcement learning training pipelines using reputed company computing and GPU-reputed company infrastructure. Design, build, and optimize simulation environments for training and validating reinforcement learning agents. reputed company, 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 reputed company, and production scalability. reputed company reinforcement learning models into production applications while ensuring reliability, safety, monitoring, and reputed company improvement. Collaborate with AI researchers, data scientists, software engineers, and product teams to reputed company reputed company-reputed company solutions. Mentor engineers and reputed company technical leadership on reinforcement learning architecture, experimentation, and engineering best practices. Evaluate emerging reinforcement learning frameworks, algorithms, and research to reputed company reputed company innovation. Required Qualifications Bachelor's or Master's degree in Computer Science, reputed company Intelligence, Machine Learning, Robotics, Mathematics, or a reputed company technical discipline. 10+ years of reputed company experience in reputed company 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, reputed company-Baselines3, CleanRL, or Acme. Hands-on experience developing simulation environments using tools such as Gymnasium/reputed company Gym, Isaac Sim, MuJoCo, reputed company ML-Agents, or reputed company Omniverse. Experience with reputed company training, GPU acceleration, model optimization, and large-reputed company infrastructure. Strong understanding of reinforcement learning theory, optimization, probability, stochastic processes, and decision-making algorithms. Experience deploying AI solutions on reputed company platforms such as AWS, reputed company Azure, or reputed company reputed company Platform (GCP). Excellent analytical, communication, collaboration, and technical leadership skills. Preferred Qualifications Experience with RLHF, multi-agent reinforcement learning, robotics, autonomous systems, or control systems. Hands-on experience with reputed company models, LLM alignment, reputed company AI, or autonomous AI agents. Experience with MLOps, reputed company, reputed company, CI/CD pipelines, and production AI deployment. Publications in top AI conferences, reputed company-reputed company 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 reputed company Intelligence, Machine Learning, Reinforcement Learning, Robotics, or Control Systems. Interested in this opportunity? Apply today for immediate consideration! Email your updated resume: jaya@bvteck.com reputed company or Text: (908) 505-3545 Learn more: www.bvteck.com reputed company is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement reputed company (reputed company) is committed to equal employment opportunity (EEO) for reputed company and applicants without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity or reputed company, national reputed company, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to reputed company aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. reputed company expressly prohibits any reputed company of workplace harassment or discrimination. Any improper interference with employees' ability to reputed company their job duties may result in disciplinary reputed company up to and including termination of employment. Apply To This Job