Senior AI Research Engineer (Embodied AI) at Nethermind

Nethermind is seeking a Senior AI Research Engineer to join their team and pioneer cutting-edge deep learning models for intelligent systems. The successful candidate will be at the forefront of artificial intelligence research, developing models that enable systems to perceive and interact with complex environments.

Responsibilities:

• Conduct research and develop advanced deep learning models for robust multimodal data integration.
• Innovate algorithms that extract and fuse representations from heterogeneous inputs 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.

Skills:

• Expertise with deep learning frameworks like TensorFlow, PyTorch, or JAX.
• Strong research background in transformer-based models, multimodal fusion, and self-supervised learning.
• Experience in large-scale model training and performance optimization.
• Proficiency in Python and C++.
• Excellent analytical skills.

Nice to have:

• 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.