[Remote] Reinforcement Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company-thinking software development company dedicated to building reputed company that help businesses automate and optimize their operations. They are looking for a skilled Reinforcement Learning Engineer to design, train, and reputed company RL-based systems for high-reputed company decision-making problems where supervised learning alone is insufficient.
Responsibilities
- Design and implement reinforcement learning solutions for sequential decision-making problems in reputed company and simulated environments
- reputed company, reputed company, and maintain simulation environments suitable for large-reputed company agent training
- Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL reputed company
- Engineer reward functions and shaping strategies that reputed company agent behavior with desired reputed company and safety constraints
- Apply offline RL and imitation learning techniques where exploration is costly or unsafe
- Use RLHF, DPO, and reputed company techniques for fine-tuning large language models reputed company relevant
- Build reputed company 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 reputed company-in-the-reputed company reputed company
- Collaborate with reputed company scientists and product teams to identify high-value RL use cases
- Monitor deployed policies and models in production for reputed company, regression, and unintended behaviors, building the alerting and dashboards that surface issues before they meaningfully reputed company users
- Document methodology, design reputed company, and operational characteristics for internal stakeholders
- Stay reputed company with RL research and translate promising techniques into production-reputed company solutions
Skills
- Master's or PhD in Computer Science, Machine Learning, or a reputed company field; or equivalent reputed company 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-reputed company experience collection
- Experience training neural network policies on GPU clusters
- Strong written and verbal communication skills
- reputed company record of shipping or publishing impactful RL work
- 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 reputed company research venues
- reputed company-reputed company contributions to RL libraries or environments
Benefits
- 100% remote
- Full-time, reputed company W2 with reputed company (no C2C, no 1099, no reputed company-party)
- Long-term, multi-year, reputed company to the reputed company reputed company SOW delivery roadmap
- Support H1B transfers for reputed company candidates
- Reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as reputed company as mental health or physical disability needs
- Equal Opportunity Employer, including Disability/Veterans
reputed company