🛠 Tech Stack

💼 About This Role

You'll design and implement advanced RL algorithms to optimize decision-making in dynamic environments. Your work will drive large-scale RL experiments and integrate agents into production systems. This remote-first role offers cutting-edge AI research with a globally distributed team.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms.
• Build and execute 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 related field (PhD preferred).
• Strong research background in reinforcement learning.
• Hands-on experience with large-scale RL experiments and methods like GRPO.
• Deep understanding of policy gradients, actor-critic methods, and PyTorch.

✨ 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 research on advanced RL technologies.
• 📈 Career growth in a rapidly evolving tech environment.
• 🧪 Innovation-focused culture encouraging experimentation.
• 🌐 International team of highly skilled AI researchers.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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