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    Bright Vision Technologies

    AI Learning Systems Engineer

    Bright Vision Technologies
    Full-time
    Verified Remote
    RemoteUSD 100,000 - 150,000Data ScienceToday

    About this role

    AI Learning Systems Engineer – Remote

    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 Title: AI Learning Systems Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years

    Sponsorship: 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 Summary We are looking for an AI Learning Systems Engineer to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical.

    Required Qualifications

    • Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience.

    • Six or more years of combined RL research and engineering experience.

    • Strong proficiency in Python and modern deep learning frameworks.

    • Hands-on experience with at least one major RL library or in-house RL stack.

    • Solid understanding of probability, optimization, and the theoretical foundations of RL.

    • Experience designing and tuning reward functions in non-trivial environments.

    • Familiarity with simulation environments and large-scale experience collection.

    • Experience training neural network policies on GPU clusters.

    • Strong written and verbal communication skills.

    • Track record of shipping or publishing impactful RL work.

    Preferred Qualifications

    • Experience with RLHF for large language models.

    • Familiarity with multi-agent RL or hierarchical RL.

    • Exposure to robotics, control systems, or autonomous driving.

    • Publications in RL or related research venues.

    • Open-source contributions to RL libraries or environments.

    How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer.

    Equal Employment Opportunity (EEO) Statement

    Bright 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.

    About Bright Vision Technologies

    Bright Vision Technologies
    Bright Vision Technologies

    Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. The company leverages cutting-edge technologies including large language models, AI-powered architectures, and enterprise integration platforms to create scalable, secure, and user-friendly applications. They specialize in LLM-based application architectures, prompt engineering strategies, and enterprise system integrations such as Coupa procurement solutions. The company is actively expanding its AI and machine learning capabilities while maintaining a focus on production-grade implementations across multiple business domains.

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