🛠 Tech Stack

💼 About This Role

You'll design and implement advanced reinforcement learning algorithms for a globally distributed research team. Your core contribution will be optimizing RL pipelines to improve policy performance and sample efficiency in production. This role offers the chance to shape next-generation AI capabilities in a remote-first environment.

🎯 What You'll Do

• Design and implement advanced RL algorithms for decision-making
• Build, execute, and evaluate large-scale RL experiments
• Develop simulation environments and training datasets
• Optimize RL pipelines for stability and efficiency

📋 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
• Expertise in PyTorch and RL frameworks

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏖️ Fully remote work environment
• 🔬 Cutting-edge AI projects in reinforcement learning
• 🌍 Global collaboration with top researchers
• 📈 Career growth in a fast-paced tech environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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

🚩 Heads Up

• Job posted by third party (Jobgether), not directly by employer