Machine Learning Research Engineer
AI-first industrial company that develops advanced materials, hardware, and manufacturing systems, currently beginning with AI data-center infrastructure.
Funding history
About Orbital Industries
Orbital Industries embeds frontier AI across materials discovery, hardware design, and manufacturing. Its current offerings include the CurieOS science-and-engineering AI operating system and the Orbital IT data-center-infrastructure brand.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will architect AI systems for multi-scale physical-technology design and take projects from prototype to production. You will set standards for code, architecture, and ML practice; select models and training approaches; develop scientific AI solutions; implement novel ML architectures; and stay current with ML research.
Requirements
- Software engineering
- Machine learning
- Model training
- Model evaluation
- Model deployment
- ML lifecycle
- Algorithm
- System design
- Linear algebra
- Probability
- ML engineering
- Debugging
Responsibilities
- Establish standards for code quality, system architecture, and ML practices
- Design robust systems that balance research velocity with production requirements
- Drive model-selection, training, and deployment decisions
- Develop and deploy AI solutions across the technology-development pipeline
- Contribute hands-on to the codebase
- Balance research rigour with pragmatic engineering
- Design and implement novel ML architectures for scientific domains
- Drive research projects from conception through deployment
- Engage with current ML literature
