Bright Vision Technologies · 2 weeks ago
AI Learning Systems Engineer
United States
Full-time
Remote
Senior Level
$100K/yr - $150K/yr
6+ years expBright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The AI Learning Systems Engineer will design, train, and deploy RL-based systems for high-impact decision-making problems, requiring expertise in modern reinforcement learning algorithms and engineering practices.
Artificial Intelligence (AI)Cyber SecurityInformation TechnologySoftware
No H1B
Responsibilities
Design and implement reinforcement learning solutions for sequential decision-making problems in real and simulated environments
Develop, calibrate, and maintain simulation environments suitable for large-scale agent training
Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL methods
Engineer reward functions and shaping strategies that align agent behavior with desired outcomes and safety constraints
Apply offline RL and imitation learning techniques where exploration is costly or unsafe
Use RLHF, DPO, and related techniques for fine-tuning large language models when relevant
Build scalable training infrastructure for distributed RL, including efficient experience collection and replay systems
Optimize training stability and sample efficiency through algorithmic and engineering improvements
Design rigorous evaluation protocols, including out-of-distribution and adversarial test cases
Implement safety mechanisms such as constraint enforcement, conservative policies, and human-in-the-loop oversight
Collaborate with applied scientists and product teams to identify high-value RL use cases
Monitor deployed policies and models in production for drift, regression, and unintended behaviors, building the alerting and dashboards that surface issues before they meaningfully affect users
Document methodology, design decisions, and operational characteristics for internal stakeholders
Stay current with RL research and translate promising techniques into production-ready solutions
Qualification
Required
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
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
Company
Bright Vision Technologies
Bright Vision Technologies is an information technology company that offers software development, AI, and cybersecurity services.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase