🛠 Tech Stack

💼 About This Role

You'll design and develop advanced reinforcement learning algorithms for a remote-first research team. Your work will directly shape cutting-edge AI models optimized for decision-making in complex environments, contributing to large-scale experimentation and production deployment.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms
• Build and execute large-scale RL experiments
• Optimize RL pipelines for convergence and efficiency
• Collaborate on integrating RL agents into production systems

📋 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, actor-critic methods, and exploration-exploitation

✨ Nice to Have

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

🎁 Benefits & Perks

• 🌍 Fully remote work with global collaboration
• 🤖 Cutting-edge AI and RL technologies
• 🧪 Innovation-focused culture encouraging experimentation
• 👨‍🔬 Collaboration with international AI researchers

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Screen· 60 min
3. 3Onsite Interviews· 3-4 hours