Top Job Opportunity
* Collaborate with product teams to integrate machine learning algorithms into software and hardware products using cutting-edge tools and frameworks.
* Develop deployable ML software artifacts and solutions for various platforms, including software and hardware.
* Work with state-of-the-art ML algorithms on image, point cloud, and text data.
* IDentify and document technical product requirements, translating between the AI and product world.
* Benchmark the accuracy and performance of ML solutions, devise acceptance test criteria, and implement them.
* Work in an agile environment, collaborating with global product teams.
Your Background
* University degree (B.Sc., M.Sc., or PhD) in computer science or a related field.
* 5+ years of experience developing software, preferably.
* Strong understanding and interest in machine learning, including model architectures and algorithmic approaches.
* Familiarity with ML 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 formalizing customer requirements and defining use cases.
* Fluent English language skills.
We Offer You
* Flexible annual working hours based on a 40-hour week, with full-time employment.
* Vacation entitlement: 25 days from age 20, increasing to 30 days from age 50.
* Hybrid Working model.
* Generous bonus system and pension fund contributions.
* Individual training opportunities (internal and external).
* Relocation service.
* Various employee benefits and discounts.
* Flat hierarchy structure.
* A warm and international corporate culture based on respect and cooperation.
About Us
Hexagon is a leading provider of digital reality solutions, employing over 24,000 people across 50 countries. As part of our team, you'll work alongside experienced professionals driving the future of Hexagon. Our innovative environment offers diverse opportunities to develop your skills and combine work and private interests effectively.