This appeals to you

• Take responsibility for feature development projects end-to-end from inception to ML development to deployment and integration into products


• Design, develop and train machine learning models tailored to our hardware using state-of-the-art techniques


• Implement advanced low-level model inference optimizations to fully leverage on-device accelerators


• Work in an agile environment, collaborating with product teams and machine learning professionals all over the world

This is you

• A university degree (M.Sc. or D.) in computer science or artificial intelligence or a similar field


• At least 5 years of experience with machine and deep learning techniques and preferably 5+ years of experience developing software for embedded devices


• Proven experience in training, evaluation, and deployment of neural networks, covering all stages from data ingestion to model deployment


• Good knowledge of ML exchange formats, runtimes, compilers and knowledge of adapting models for and deploying to embedded platforms


• Solid background in developing with C-based languages and Python


• Experience in obtaining and formalizing customer requirements and defining use cases


• Fluent English

If you have any questions, please do not hesitate to contactE-Mail schreiben Talent Acquisition Specialist.