🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications. You'll drive large-scale experiments to optimize decision-making in dynamic environments. This remote-first role offers the chance to shape next-generation AI capabilities within a cutting-edge research team.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms
• Build, execute, and evaluate large-scale RL experiments
• Develop and curate simulation environments and training datasets
• Optimize RL pipelines for exploration, convergence, and efficiency

📋 Requirements

• Degree in Computer Science, AI, or related field; PhD preferred
• Strong research background in reinforcement learning
• Hands-on experience with large-scale RL experiments and GRPO
• Deep understanding of policy gradients and actor-critic methods

✨ Nice to Have

• Experience with multi-modal AI systems
• Knowledge of resource-efficient model architectures

🎁 Benefits & Perks

• 🏠 Fully remote work with global collaboration
• 🤖 Cutting-edge AI research on RL technologies
• 📈 Career growth in a global tech environment
• 🧠 Innovation-focused culture encouraging experimentation

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 60 min