Reinforcement Learning Engineer

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.As we continue to grow, we’re looking for a skilled Reinforcement Learning Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.Reinforcement Learning EngineerJob Title: Reinforcement Learning EngineerLocation: 100% Remote (Continental United States)Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)Experience: 6+ yearsSponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmapCompensation: Competitive base salary commensurate with experience, plus benefits.Employment Terms & Visa PolicyThis is a 100% remote, full-time, direct W2 position with Bright Vision Technologies.This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved.We do not engage in C2C, 1099, or third-party arrangements for this role.BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.No new H1B sponsorship is available for this role.However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates.For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.Job SummaryWe are looking for a Reinforcement Learning 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.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 venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com.We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.Position offered by “No Fee Agency.”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 JazzHRHahYMm5mJ8