Senior Machine Learning Engineer
vor 2 Wochen
Machine Learning Expertise
This is your chance to work with state-of-the-art machine learning algorithms on image, point cloud, and text data.
- Implement and deploy machine learning software artifacts and solutions for various software and hardware platforms.
- Benchmark the accuracy and performance of machine learning solutions, devise acceptance test criteria and strategies, and implement them.
- Work in an agile environment, collaborating with product teams all over the world.
Your Skills
To excel in this role, you will need:
- University qualification (B.Sc., M.Sc., or PhD) in computer science or a similar field.
- Preferably 5+ years of experience developing software.
- Understanding of and interest in machine learning and working with different model architectures and algorithmic approaches.
- Good knowledge of machine learning exchange formats, runtimes, and compilers.
- Knowledge of adapting models for and deploying to embedded platforms (TinyML).
- Solid background in developing with C-based languages and Python.
- Experience in obtaining and formalising customer requirements and defining use cases.
- Fluent English.
We Offer You
As a member of our team, you can expect:
- Flexible annual working hours based on a 40-hour week, with 100% employment.
- Vacation entitlement: 25 days from the age of 20, 27 days from the age of 40 and 30 days from the age of 50.
- Hybrid Working model.
- Generous bonus system and extra-mandatory pension fund contributions.
- Individual training opportunities (internal and external).
- Relocation service.
- Various Discounts (Health, Car, Entertainment and much more).
- Employee Events.
- Flat hierarchy structure.
- Warm and international corporate culture based on respect and cooperation.
About Us
Hexagon is a leading provider of digital reality solutions and employs more than 24,000 people in 50 countries. You will be part of a strong, experienced, inspiring and motivated team of experts driving the future of Hexagon. You will use and develop your skills in our highly innovative and diverse environment. Flexible working models allow you to ideally combine work and private interests.
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