🛠 Tech Stack

💼 About This Role

You'll design and implement advanced RL algorithms for a globally distributed research team, building intelligent AI models that optimize decision-making across dynamic environments. Your work will push the boundaries of model performance and scalability, with direct impact on production systems.

🎯 What You'll Do

• Design and implement advanced reinforcement learning algorithms for real-world environments.
• Build and evaluate large-scale RL experiments, tracking KPIs and benchmarks.
• Optimize RL pipelines for exploration, stability, and computational efficiency.
• Integrate RL agents into production systems and monitor performance.

📋 Requirements

• Degree in Computer Science, AI, or Machine Learning (PhD preferred).
• Research background in reinforcement learning or AI with proven contributions.
• Hands-on experience with large-scale RL experiments, including GRPO.
• Expertise in PyTorch and RL frameworks for end-to-end pipelines.

✨ Nice to Have

• Experience with multi-modal AI systems and resource-efficient architectures.
• Proven ability to solve complex RL challenges (sample inefficiency, training instability).

🎁 Benefits & Perks

• 🏠 Fully remote work environment with global collaboration.
• 🤖 Cutting-edge AI and RL technology exposure.
• 📈 Career growth in a rapidly evolving global technology environment.
• 🧪 Innovation-focused culture encouraging experimentation.
• 🌍 Collaboration with highly skilled international AI researchers.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3On-site (Virtual)· 90 min