AI Research Scientist, Reinforcement Learning

Meta is hiring an AI Research Scientist specializing in Reinforcement Learning for its Fundamental AI Research lab in Grand Central, Manhattan, US. The role focuses on pioneering physical AI systems such as robotics, autonomous vehicles, and next‑generation semiconductors.

Key Responsibilities

• Design and implement reinforcement‑learning algorithms that enable robots and mobile platforms to learn complex tasks in simulation and real‑world environments.
• Develop large‑scale data pipelines for collecting, cleaning, and processing sensor and simulation data.
• Integrate custom simulators with high‑performance computing clusters to accelerate training cycles.
• Collaborate with hardware engineers to translate AI models into deployable robotic hardware and semiconductor designs.
• Publish research findings in top‑tier conferences and contribute to Meta’s open‑source AI tools.
• Mentor junior researchers and drive cross‑functional projects across software, hardware, and data science teams.

Required Qualifications

• Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on reinforcement learning.
• Strong track record of peer‑reviewed publications in AI/ML conferences or journals.
• Expertise in Python, C++, and deep‑learning frameworks (e.g., PyTorch, TensorFlow).
• Experience building and scaling simulation environments (e.g., Unity, Gazebo, Isaac Gym).
• Proficiency in large‑scale data engineering, distributed training, and GPU/TPU optimization.
• Excellent problem‑solving skills and the ability to work independently in a fast‑paced research environment.

Compensation

Base salary: $186,618.52 per year.

Location

Grand Central, Manhattan, United States.

Frequently Asked Questions

What type of projects will I work on?

You will develop reinforcement‑learning algorithms for robotics, autonomous vehicles, and novel semiconductor designs, integrating them with large‑scale simulators and real‑world hardware.

What qualifications are required?

A Ph.D. in a relevant field, strong publication record, expertise in Python/C++ and deep‑learning frameworks, and experience with simulation and large‑scale data pipelines.

What is the salary for this position?

The role offers a base salary of $186,618.52 per year.