AI Research Engineer
Job description
•As a core member of our AI Research team, you will design, implement, and optimize cutting-edge machine learning models. Your responsibilities will include:
- Staying up-to-date with the latest advancements in AI research.
- Developing and implementing novel machine learning algorithms.
- Collaborating with other engineers to integrate models into products.
- Publishing research findings in top-tier conferences and journals.
Preferred experiences
•The ideal candidate has a strong background in mathematics, statistics, and computer science, with experience in deep learning frameworks like TensorFlow or PyTorch. A PhD in a related field is preferred.
Interview process
•The interview process consists of an initial screening, a technical interview, and a final interview with the team lead.
Qumea
QUMEA measures contactless and anonymous human movement in the patient's room. Care givers know automatically and around the clock how their patients are doing and are informed in real time if they need help. QUMEA's digital mobility monitoring ensures greater patient safety, supports carers in their work and provides relevant clinical findings.
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