Machine Learning Researcher

Vor 5 Tagen


Zürich, Schweiz AMM Group Vollzeit

Flight Software, Computer Vision and AI

Hiring Mode: Full-Time

Onsite Frequency: Hybrid

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, you will prove performance guarantees of safety-critical aviation systems based on machine learning.

Areas of work include:

  1. Data completeness and correctness (high-dimensional data), impact analysis of distribution shifts.
  2. Robustness in development and operations (input and data robustness).
  3. Analysis of dynamical systems and their filtering.
  4. Monte-Carlo analyses based on complex statistical models (e.g., Bayesian networks).
  5. Statistical hypothesis testing.

Preferred Qualifications:

  1. At least MSc (preferably PhD) degree in theoretical Machine Learning, Computer Science, Math, Physics, or a related domain.
  2. Proven experience in the domain of probability and statistics.
  3. Hands-on experience with Machine Learning in an industry setting.
  4. Creativity, as we work on problems that no one has solved before.

About Company:

The foundation for AMM Enterprise GmbH, an ISO 9001:2015 certified company, was laid in the year 2015 by a group of senior and experienced professionals. This company was started with a vision of bringing the German technical edge and Indian cost-effectiveness together on one pedestal. The company initially focused on manufacturing engineering products for the aerospace and automotive industries between India and Germany. Affirmative feedback from the market drove the company to expand and diversify rapidly into other domains like Supplier Management, Engineering Services, Management Consulting, and IT & Software Services across industries.

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