Lead AI Engineer - Reinforcement Learning

Our client is looking for a visionary Lead AI Engineer with a specialization in Reinforcement Learning (RL) to spearhead innovative projects in a fully remote capacity. This role offers a unique opportunity to define and implement advanced RL strategies that will drive the next generation of intelligent systems. You will be responsible for leading a team of talented AI engineers, guiding them through the entire lifecycle of RL model development, from conceptualization and experimentation to deployment and ongoing optimization.

The ideal candidate is a thought leader in the RL space, passionate about solving complex real-world problems through algorithmic innovation. As a remote-first organization, we foster a culture of autonomy, collaboration, and continuous learning, leveraging state-of-the‑art tools and platforms to ensure seamless teamwork. This position is crucial for advancing our AI capabilities and requires a candidate who can not only excel technically but also inspire and mentor a high-performing team.

Join us in shaping the future of AI from anywhere in the world.

• Lead the design, development, and implementation of sophisticated Reinforcement Learning algorithms and models.
• Architect scalable RL systems capable of handling large datasets and complex decision‑making processes.
• Mentor and guide a team of AI engineers, fostering a collaborative and innovative research environment.
• Conduct thorough research into novel RL techniques and their potential applications.
• Oversee the end‑to‑end deployment of RL solutions, ensuring robustness, efficiency, and scalability.
• Collaborate closely with product managers and stakeholders to define project requirements and ensure alignment with business goals.
• Develop and maintain comprehensive documentation for RL models and systems.
• Stay current with the latest advancements in AI, machine learning, and RL research, and share knowledge with the team.

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field with a focus on Reinforcement Learning.
• 5+ years of professional experience in AI/ML engineering, with a significant portion dedicated to Reinforcement Learning.
• Proven experience in leading technical teams and managing AI projects from conception to completion.
• Deep understanding of RL concepts, including Q‑learning, Policy Gradients, Actor‑Critic methods, and Deep RL algorithms (e.g., DQN, PPO, SAC).
• Proficiency in Python and experience with ML libraries like Tensor Flow, PyTorch, or JAX.
• Experience with simulation environments and deploying RL agents in real‑world applications.
• Strong software engineering skills, including experience with version control (Git) and CI/CD pipelines.
• Excellent communication and collaboration skills, essential for a remote team environment.
• Demonstrated ability to solve complex problems and drive innovation.

• Highly competitive salary and performance‑based incentives.
• Comprehensive remote work setup allowance.
• Flexible working hours to accommodate different time zones.
• Generous professional development budget for conferences, courses, and certifications.
• Unlimited access to cutting‑edge cloud computing resources.
• Collaborative and forward‑thinking remote work culture.
• Extended health, dental, and vision coverage.
• Opportunities for career advancement and leadership growth.