Research Engineer
Description For Research Engineer
Scaled Foundations, an innovative AI research and deployment company, is seeking a Research Engineer to join their mission of building general robot intelligence. The role combines cutting-edge research in robotics with practical engineering implementation, focusing on developing generalized robotics foundation models that work across various platforms including aerial, ground, and manipulation systems.
The position requires expertise in both robotics and machine learning, with particular emphasis on areas such as multimodal machine learning, synthetic data generation through simulation, LLMs, and reinforcement learning. As a Research Engineer, you'll be responsible for designing and implementing state-of-the-art methods and infrastructure, working with high-fidelity simulation platforms, and developing complex pipelines for model training and deployment.
This is an excellent opportunity for someone passionate about advancing the field of robotics through machine learning. The role offers the chance to contribute to significant research publications while solving real-world robotics challenges. The ideal candidate will have strong programming skills in Python/C++ and experience with deep learning frameworks, combined with a research background in machine learning, robotics, or computer vision.
Working at Scaled Foundations means being at the forefront of robotics and AI research, with the opportunity to work on foundation models that could revolutionize how robots learn and operate. The company values both theoretical research and practical implementation, making this role perfect for someone who enjoys bridging the gap between cutting-edge research and real-world applications.
The position is based in Redmond, WA, and offers the chance to work with a team of experts in the field. While a Bachelor's degree is the minimum requirement, candidates with advanced degrees (Master's/PhD) and research publications in top AI and robotics conferences will be particularly competitive.
Responsibilities For Research Engineer
- 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
Requirements For Research Engineer
- 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
