💼 About This Role

You'll lead foundational AI research within the MARA project, focusing on new methods for model-based RL and planning. Your work will directly impact solving challenges like AutumnBench and robotics benchmarks.

🎯 What You'll Do

• Conduct independent and collaborative research on the MARA project.
• Develop new methods for reinforcement learning and planning.
• Apply methods to AutumnBench and robotics challenges.
• Publish findings and mentor junior team members.

📋 Requirements

• PhD in computer science, AI, or related field.
• Strong background in reinforcement learning and planning.
• Experience with neural-symbolic AI systems.
• Track record in scientific research (publications or projects).

✨ Nice to Have

• Experience in model-based RL or optimal control.
• Familiarity with Bayesian optimization.

🎁 Benefits & Perks

• 💰 Competitive salary
• 🏢 In-person collaboration in NYC or Cambridge
• 🌍 Impactful research with societal benefit