Scaled Foundations is an AI research and deployment company building general robot intelligence, and we are seeking a Research Engineer to join our team. We conduct focused research and engineering to build generalized robotics foundation models that work across form factors such as aerial, ground, manipulation, and others. We are looking for strong candidates who have a background in robotics and machine learning, with experience in areas like multimodal machine learning; synthetic data generation through simulation; LLMs; reinforcement learning and imitation learning for robotics; efficient training and inference.
Research Engineer Responsibilities
Design methods, tools, and infrastructure to push forward the state-of-the-art in robotic manipulation and foundation models.
Define research goals informed by practical engineering concerns.
Adapt standard machine learning models and frameworks to manipulation applications.
Work with high-fidelity simulation platforms for synthetic data generation.
Develop sim2real and teleoperation pipelines for manipulation 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.
Minimum Qualifications
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.
Desired 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.
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Are you ready to dive into the exciting world of robotics? Scaled Foundations, an innovative AI research and deployment company, is on the hunt for a passionate Research Engineer in Manipulation to join our dynamic team in Redmond. As part of our mission to build general robot intelligence, you will play a crucial role in shaping the next wave of robotic foundation models that perform across various forms like aerial and ground-based systems. We're looking for someone with a solid background in robotics and machine learning, particularly experienced in multimodal machine learning and synthetic data generation through simulation. In your role as a Research Engineer, you'll be designing cutting-edge tools and infrastructure to enhance robotic manipulation capabilities. You'll have the chance to define impactful research goals, leverage high-fidelity simulation for data generation, and create robust training pipelines for large-scale model training. If you have skills in reinforcement learning and a knack for adapting machine learning frameworks to real-world manipulation applications, we want to hear from you! Bring your Python or C++ programming expertise and your knowledge of deep learning frameworks like PyTorch or JAX, and help us shape the future of robotics. At Scaled Foundations, you’ll not only contribute to ground-breaking experiments but also have the opportunity to share your findings through publications and open-source projects. If you're eager to push the boundaries and work alongside some of the brightest minds in robotics, this is the perfect place for you to thrive!
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