🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for a globally distributed research team. Your work will optimize decision-making in dynamic, real-world environments. This role combines deep research with hands-on production deployment, offering exposure to cutting-edge AI and a remote-first culture.

🎯 What You'll Do

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

📋 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, including GRPO.
• Deep expertise in PyTorch and RL frameworks.

✨ Nice to Have

• Experience with multi-modal AI systems.
• Resource-efficient model architectures.
• PhD in a relevant field.

🎁 Benefits & Perks

• 🏠 Fully remote work environment.
• 🤖 Cutting-edge AI and RL technologies.
• 🌍 Global collaboration with top researchers.
• 📈 Career growth in fast-paced environment.
• 🔬 Innovation-focused culture.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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