Machine Learning Certification Researcher
Publication date:
01 November 2024Workload:
100%Contract type:
Unlimited employment- Place of work:Zürich
Job summary
Daedalean is a Zürich-based startup poised to revolutionize air travel. Join a dynamic team focused on achieving full ‘level-5’ autonomy in flying vehicles.
Tasks
- Collaborate with engineers and researchers on aviation safety systems.
- Ensure performance guarantees for machine learning applications.
- Analyze data robustness and system dynamics for aviation technologies.
Skills
- MSc or PhD in Machine Learning, Computer Science, or related fields.
- Proven experience in statistics and probability is essential.
- Hands-on machine learning experience in an industry setting.
Summary from the original job ad
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About us:
Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.
Your role:
In collaboration with our team of engineers, machine learning researchers and certification experts, prove performance guarantees of safety-critical aviation systems based on machine learning.
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- Generalization bounds for deep neural networks.
- Data completeness and correctness (high-dimensional data), impact analysis of distributions shift.
- Robustness in development and operations (input and data robustness).
- Analysis of dynamical systems and their filtering.
- Monte-Carlo analyses based on complex statistical models (e.g. Bayesian networks).
- Statistical hypothesis testing.
- At least MSc (preferably PhD) degree in theoretical Machine Learning, Computer Science, Math, Physics or related domain.
- Proven experience in the domain of probability, statistics.
- Hands-on experience with Machine Learning in the industry setting.
- Creativity as we work on problems that no one has solved before.
- A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
- Difficult and interesting problems to solve.
- Test flights in the Swiss Alps for you to join.
- Stock options.
- Pilot license subsidy.
- Hybrid work setting.
- Learning & Development budget: visit conferences of your choice.
- Gym membership.
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