Senior AI Research Engineer developing and deploying next - generation robot foundation models and end - to - end policies. Researching and implementing methods for humanoid robots to perform real - world tasks in a hybrid work environment.
About the role
- Machine Learning Researcher developing high-performance ML models for AI-driven materials discovery. Collaborating with scientists to translate research into applications for global technology challenges.
Responsibilities
- Independently design, implement and benchmark high-performance ML models
- Develop novel deep learning architectures for complex scientific domains, with work that meets publication standards at top-tier conferences
- Demonstrate strong implementation skills through hands-on development in PyTorch and related frameworks
- Drive research projects from conception through to deployment, showing initiative and technical depth
- Collaborate effectively with computational and experimental scientists, translating domain requirements into ML solutions
- Demonstrate intellectual curiosity and the ability to quickly master new scientific domains outside your immediate expertise
- Bridge the gap between foundational ML research and practical applications in materials science
- Build robust, well-engineered codebases that others can build upon, balancing research velocity with code quality
- Engage continuously with the latest ML literature, staying current with developments in foundation models, generative AI and scientific machine learning
- Contribute to establishing technical best practices and knowledge sharing within the research team
Requirements
- PhD or 3-5 years of experience in machine learning research
- A strong ability to reason about algorithms, data structures, linear algebra and probabilistic concepts
- A strong ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
- An appreciation for high-quality code and software engineering practices
- A genuine interest in pursuing AI-driven scientific discovery and building computational tools that enable breakthrough materials research
- Bonus: Experience working with graph neural networks, message passing neural networks, or computational methods on graphs, 3D point clouds, or other 3D data. Experience training, evaluating or building with large language models.
Benefits
- Competitive salary commensurate with AI sector
- Flexible and generous paid time off
- Excellent health, dental and vision insurance plan
- Equity package - the ability to own part of Orbital Materials as we grow
- Regular company offsites to the USA and beyond
- The experience of working in a cutting-edge organisation dedicated to a better future
- Clear pathways to technical leadership and ownership of research domains as we scale
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