Machine Learning Engineer – RL

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: Machine Learning Engineer – RLLocation: 100% Remote (U.S.)Position Type: Full-time, Direct W2Salary Range: $100,000–$150,000 AnnuallyExperience Required: 6+ 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 Summary:We are looking for a Machine Learning Engineer - RL 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.Key ResponsibilitiesDesign and implement reinforcement learning solutions for sequential decision-making problems in real and simulated environmentsDevelop, calibrate, and maintain simulation environments suitable for large-scale agent trainingImplement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL methodsEngineer reward functions and shaping strategies that align agent behavior with desired outcomes and safety constraintsApply offline RL and imitation learning techniques where exploration is costly or unsafeUse RLHF, DPO, and related techniques for fine-tuning large language models when relevantBuild scalable training infrastructure for distributed RL, including efficient experience collection and replay systemsOptimize training stability and sample efficiency through algorithmic and engineering improvementsDesign rigorous evaluation protocols, including out-of-distribution and adversarial test casesImplement safety mechanisms such as constraint enforcement, conservative policies, and human-in-the-loop oversightCollaborate with applied scientists and product teams to identify high-value RL use casesMonitor deployed policies and models in production for drift, regression, and unintended behaviors, building the alerting and dashboards that surface issues before they meaningfully affect usersDocument methodology, design decisions, and operational characteristics for internal stakeholdersStay current with RL research and translate promising techniques into production-ready solutionsRequired QualificationsMaster’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experienceSix or more years of combined RL research and engineering experienceStrong proficiency in Python and modern deep learning frameworksHands-on experience with at least one major RL library or in-house RL stackSolid understanding of probability, optimization, and the theoretical foundations of RLExperience designing and tuning reward functions in non-trivial environmentsFamiliarity with simulation environments and large-scale experience collectionExperience training neural network policies on GPU clustersStrong written and verbal communication skillsTrack record of shipping or publishing impactful RL workPreferred QualificationsExperience with RLHF for large language modelsFamiliarity with multi-agent RL or hierarchical RLExposure to robotics, control systems, or autonomous drivingPublications in RL or related research venuesOpen-source contributions to RL libraries or environmentsHow To ApplyWould you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.Bright 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 JazzHRZFR1SKkN2H