Key Responsibilities:

• Develop, train, and fine-tune machine learning models for robotics and automation tasks.
• Build multimodal AI pipelines (vision, language, sensor data).
• Work with simulation frameworks (e.g., MuJoCo, Isaac Gym, PyBullet) to train and test models.
• Optimize data processing pipelines for experimental and synthetic datasets.
• Collaborate with the robotics team to integrate AI models into real-world workflows.
• Document models, experiments, and results for research dissemination.
• Stay updated with advancements in embodied AI, reinforcement learning, and simulation-to-reality transfer.

Qualifications:

• Master’s/ PhD in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Minimum 1 year of experience in AI/ML research or software development.
• Priority is given if you have published in reputed journals and conferences
• Strong programming skills in Python and ML frameworks (PyTorch, JAX, TensorFlow).
• Hands-on experience in deep learning, computer vision, or reinforcement learning.
• Familiarity with robotics simulation environments (MuJoCo, Isaac Gym, PyBullet, Webots, or Gazebo).
• Experience with sim-to-real transfer or embodied AI is a plus.
• Strong problem-solving skills and ability to work in a fast-paced R&D environment.