🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for a globally distributed research team. Your core impact will be building intelligent AI models that optimize decision-making across dynamic environments. This role offers a remote-first environment with cutting-edge RL experimentation.

🎯 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
• Integrate RL agents into production systems

📋 Requirements

• PhD in Computer Science, AI, or related field preferred
• Strong research background in reinforcement learning
• Hands-on experience with online RL methods like GRPO
• Expertise in PyTorch and RL frameworks

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work with global collaboration
• 🤖 Cutting-edge AI and RL technologies
• 📈 Career growth in evolving tech environment
• 🧪 Innovation-focused work culture
• 🌐 Collaboration with international researchers

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical phone interview· 60 min
3. 3Onsite (or remote) interview loop· 3 hours