Senior Ai Research Engineer

Summary

Join a team at the forefront of artificial intelligence research, pioneering cutting-edge deep learning models for intelligent systems. You will develop transformative AI bridging perception, cognition, and action. The role involves research, development, and deployment of advanced deep learning models, integrating diverse data sources for robust decision-making. Collaboration with cross-functional teams is crucial for integrating AI solutions with simulation environments and hardware. The ideal candidate possesses advanced expertise in deep learning frameworks and a strong research background in relevant areas. This position offers the opportunity to work on challenging problems and contribute to innovative AI research.

Requirements

• Advanced expertise with deep learning frameworks such as TensorFlow, PyTorch, or JAX
• Strong research background in transformer-based models, multimodal fusion, and self-supervised learning methodologies
• Experience in large-scale model training, hyperparameter tuning, and performance optimization for production environments
• Proficiency in Python, with solid knowledge of C++ for integrating AI models within complex systems
• Excellent analytical skills, with a proven track record of designing experiments, interpreting data, and driving innovative research

Responsibilities

• Conduct research and develop advanced deep learning models—including transformer architectures and convolutional networks—for robust multimodal data integration
• Innovate algorithms that extract and fuse representations from heterogeneous inputs (e.g., visual, auditory, proprioceptive signals) to support autonomous decision-making
• Explore self-supervised, semi-supervised, and reinforcement learning techniques to enhance model generalization and performance
• Collaborate with cross-functional teams, integrating AI solutions with simulation environments and hardware systems to validate model efficacy
• Optimize and deploy scalable AI models on both edge devices and cloud platforms, ensuring high performance under real-world constraints

Preferred Qualifications

• Experience in integrating AI solutions with robotics platforms and real-time sensor data
• Familiarity with distributed training frameworks and high-performance computing environments
• Understanding of reinforcement learning strategies and simulation-based model validation
• Contributions to peer-reviewed publications or open-source projects in advanced AI research