🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for a globally distributed research team, optimizing decision-making across dynamic environments. Your core impact will be developing scalable RL pipelines and deploying agents into production systems. This remote-first role offers the chance to shape next-generation AI capabilities with a highly innovative team.

🎯 What You'll Do

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

📋 Requirements

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

✨ Nice to Have

• PhD in AI or related field
• Experience with multi-modal AI systems
• Resource-efficient model architecture experience

🎁 Benefits & Perks

• 🏠 Fully remote work
• 🔬 Cutting-edge AI research
• 🌍 Global collaboration
• 📈 Career growth opportunities
• 🔄 Flexible and innovation-focused culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3AI research discussion· 60 min