Research Engineer

Research Engineer

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Research experience in machine learning, robotics, computer vision and natural language processing.
• Experience with developing robotics algorithms or machine learning models at scale.
• Programming experience in Python/C++. Good understanding of deep learning frameworks like Pytorch or Jax.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Responsibilities

• Design methods, tools, and infrastructure to push forward the state-of-the-art in robotics and foundation models.
• Define research goals informed by practical engineering concerns.
• Adapt standard machine learning models and frameworks to robotics applications.
• Work with high-fidelity simulation platforms for synthetic data generation.
• Develop sim2real and teleoperation pipelines for diverse tasks.
• Design data loading and training pipelines for large scale foundation model training.
• Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results.
• Contribute to publications and open-sourcing efforts.

Preferred Qualifications

• Master’s/PhD in Robotics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Direct experience in robotics, computer vision, or machine learning research. Experience with the Transformer model architecture.
• First author publications at peer-reviewed AI and robotics conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICRA, IROS).
• Experience with high fidelity simulation platforms such as AirSim, CARLA, Isaac Sim among others.
• Experience building efficient robotics pipelines involving sensor fusion and model inference.
• Good understanding of systems considerations and the ability to factor these into model choices.