Machine Learning Researcher

AI/ML Engineer - Robotics & Automation in Chennai

BotForge Labs is seeking an innovative AI/ML Engineer to spearhead the development of cutting-edge machine learning models for our robotics-driven research and automation initiatives. This full-time, on-site position in Chennai offers a unique opportunity to shape the future of AI in robotics.

Role Overview:

You will be instrumental in designing, fine-tuning, and deploying sophisticated AI models capable of processing diverse multimodal data streams, including vision, language, and robotic sensor inputs. A significant part of your role will involve leveraging advanced simulation environments for large-scale model training and validation, bridging the gap between simulation and real-world robotic applications.

Key Responsibilities:

• Develop, train, and optimize machine learning models specifically for robotics and automation applications.
• Construct robust multimodal AI pipelines integrating vision, language, and sensor data.
• Utilize and contribute to simulation frameworks such as MuJoCo, Isaac Gym, and PyBullet for comprehensive model training and testing.
• Enhance and manage data processing pipelines for both experimental and synthetically generated datasets.
• Collaborate closely with the robotics engineering team to seamlessly integrate AI models into operational workflows.
• Meticulously document all models, experimental setups, and findings to facilitate research dissemination.
• Continuously research and apply advancements in embodied AI, reinforcement learning, and sim-to-real transfer techniques.

Qualifications:

• Master's or PhD in Computer Science, Artificial Intelligence, Data Science, or a closely related technical field.
• A minimum of 1 year of hands-on experience in AI/ML research or software development is required.
• Published work in reputable AI/ML journals and conferences will be highly regarded.
• Proficiency in Python programming and leading ML frameworks including PyTorch, JAX, and TensorFlow.
• Demonstrated experience in deep learning, computer vision, or reinforcement learning is essential.
• Familiarity with robotics simulation environments such as MuJoCo, Isaac Gym, PyBullet, Webots, or Gazebo.
• Experience with sim-to-real transfer methodologies or embodied AI concepts is considered a significant advantage.
• Exceptional problem-solving capabilities and the ability to thrive in a dynamic R&D setting.