Description
We are a young tech startup dedicated to bringing deep learning to everyday devices with our deep learning framework. We develop scalable deep learning applications based on our core building blocks and high-performance libraries in order to solve problems in the fields of mobility, automotive, IoT and security. Ever wanted to work with cutting-edge technology, redefine the status quo of high-performance computing and challenge the edge-computing industry? Perfect! Join our core tech team and work on improving our core building blocks to strive in portability, footprint, and performance! We are looking for skilled men and women in tech who are interested in challenging the status quo of the industry. At Swarm, we strive for combining fast learnings with a novel approach to become frontrunners. We don’t deliver scientific papers but rather solve actual problems.
Your role:
- Work on our internal deep learning framework
- Develop algorithms for implementing optimization techniques to be able deploying deep learning to every-day devices (the toaster is the limit!)
- Design space exploration & cutting edge research implementations to ensure state-of-the-art results
- Implement & research on hardware-aware neural networks with a focus on achieving real-time performance
Our requirements:
- Master or Ph.D. degree in Computer Science, Physics, Maths or related fields
- Hands-on experience with at least one deep learning framework (Tensorflow, Caffe, Theano)
- Good understanding in Python
- Basic knowledge of C++
- Strong mathematical background & hands-on experience in algorithm optimization
- Good understanding of data structures
- Basic understanding of computer vision algorithms for object detection/tracking, relative positioning, segmentation
Our offers:
- Yearly minimum wage starting from 60.000€ gross for full-time (38.5h/week)
- On-the-Job Training
- Exclusive learning material and course access
- Working with experts in their field and a highly motivated team
- An office in the heart of the Alps
Sounds like you? Then apply here and we will get in touch with you soon!