Staff Machine Learning Researcher
Orbital
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Job Level
About the role
- Architect cutting-edge AI systems for multi-scale design of physical technologies.
- Set exceptionally high technical standards and drive projects from prototype through to production deployment.
- Deliver high-impact AI projects across diverse domains.
- Rapidly upskill in new technical areas through close collaboration with domain experts.
- Design and implement novel ML architectures for complex scientific domains.
Requirements
- 5+ years of professional experience in ML/AI research or engineering.
- A relevant PhD + 2 years of professional experience in ML/AI research or engineering.
- Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
- Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
- A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
- An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
- A genuine interest in building AI systems that enable breakthrough scientific and industrial applications
- Upon reading Hamming's You and Your Research, you resonate with quotes such as:
- "Yes, I would like to do first-class work"
- "You should do your job in such a fashion that others can build on top of it, so they will indeed say, 'Yes, I've stood on so and so's shoulders and I saw further.'"
- "Instead of attacking isolated problems, I made the resolution that I would never again solve an isolated problem except as characteristic of a class"
Benefits
- Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningartificial intelligenceML lifecyclealgorithm designsystem designlinear algebraprobabilistic conceptsdebuggingproduction deploymentmodel training
Soft Skills
attention to detailcollaborationproblem-solvingcritical thinkingcommunicationproject managementadaptabilitycreativityleadershipmentorship
Certifications
PhD in relevant field