🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications. Your work will directly improve decision-making in dynamic environments. This remote-first role offers the chance to shape next-generation AI capabilities within a globally distributed research team.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms
• Build and evaluate large-scale RL experiments
• Optimize RL pipelines for stability and efficiency
• Collaborate to integrate RL agents into production systems

📋 Requirements

• Degree in Computer Science, AI, or Machine Learning
• Strong research background in reinforcement learning
• Experience with GRPO and online RL methods
• Deep expertise in PyTorch and RL frameworks

✨ Nice to Have

• Experience with multi-modal AI systems
• Resource-efficient model architectures

🎁 Benefits & Perks

• 🌍 Fully remote work with global collaboration
• 🤖 Cutting-edge AI technologies
• 🧪 Innovation-focused culture encouraging experimentation
• 👥 Collaboration with international AI researchers
• 📈 Career growth in a rapidly evolving environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Research Presentation· 45 min