🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for real-world applications. You'll contribute to cutting-edge experimentation involving large-scale RL and multi-modal architectures. This remote-first role offers the chance to shape next-generation AI capabilities within a highly innovative environment.

🎯 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

• Degree in Computer Science, AI, or Machine Learning; PhD preferred.
• Strong research background in reinforcement learning or related fields.
• Hands-on experience with large-scale RL experiments using online methods like GRPO.
• Deep understanding of policy gradients, actor-critic methods, and policy optimization.

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏡 Fully remote work environment with global collaboration
• 🔬 Cutting-edge AI and RL technologies
• 📈 Career growth opportunities in a rapidly evolving global technology environment
• 💡 Flexible and innovation-focused culture
• 🌍 Collaboration with highly skilled international researchers

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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