Working Student Ai - Munich, Deutschland - Walaris

Walaris

Geprüftes Unternehmen

Munich, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Founded at Stanford University, Walaris develops autonomous AI-based solutions focused on enhancing situational awareness.

Our AirScout software platform uses artificial intelligence, sensor fusion, and edge computing to detect threats in the air, on sea or on the ground.

Our cutting-edge technology is utilized by commercial, government, and military users to increase situational awareness in and around sensitive locations.

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For our office in
Munich, we are looking for a
Working Student AI (M/F/d) starting as soon as possible:

Responsibilities:

Handling different sources of data and converting them into suitable format for training neural networks.
Experimenting with state of the art neural networks and approaches, and creating performancebased comparison benchmarks.
Working on and implementing ProofofConcepts using cutting edge machine learning and deep learning approaches such as GANs, Graph Neural Networks, Transformers, etc.
Identifying opportunities to use machine learning to improve AI processes from data management to model training, testing and deployment.

Requirements:

A broad understanding of applicable best practices, tools (e.g. OpenCV, PyTorch), and methods (e.g. object detection and tracking, semantic segmentation, etc.)
Highlevel proficiency in Python
Problem solving mindset and systematic approach to conduct research, solve problems and willingness to work in a cross functional environment to tackle real world technical challenges

Benefits

Join our mission and our dynamic team Help save lives and protect local and national security using bleeding edge technologies.

This opportunity provides the chance to pioneer new fields and shoulder significant responsibility developing and deploying industry-defining solutions. At Walaris, you'll have creative freedom, receive competitive compensation, and work in a fast-paced environment.