Research Engineer, Manipulation

Scaled Foundations, an innovative AI research and deployment company, is seeking a Research Engineer to join their robotics team. The company focuses on building general robot intelligence through the development of generalized robotics foundation models that work across various form factors including aerial, ground, and manipulation systems.

The role combines cutting-edge research with practical engineering implementation in the field of robotic manipulation. As a Research Engineer, you'll be at the forefront of developing advanced methods and tools that push the boundaries of robotic manipulation and foundation models. The position involves working with state-of-the-art technologies including multimodal machine learning, synthetic data generation, LLMs, and reinforcement learning.

Key aspects of the role include designing and implementing sophisticated data loading and training pipelines for large-scale foundation model training, working with high-fidelity simulation platforms, and developing sim2real and teleoperation pipelines. You'll contribute to groundbreaking experiments and have the opportunity to publish your findings in prestigious conferences.

The ideal candidate should have a strong background in computer science or related fields, with hands-on experience in machine learning and robotics. Experience with Python/C++ programming and deep learning frameworks is essential. The position offers the opportunity to work with a talented team pushing the boundaries of AI and robotics, making a real impact on the future of robotic intelligence.

This is an excellent opportunity for someone passionate about combining theoretical research with practical applications in robotics and AI, working in a dynamic environment where you can contribute to cutting-edge developments in the field.