Software Engineer, Deep Learning (m/f/d)

Job Type: Full Time
Job Location: Innsbruck

Role Description:

You will be part of the engineering team and work closely with our data and software engineers (C++). Together we build faster, smarter, and more affordable computer vision-based systems for smart cities. You will be involved in building production-grade training systems, model architectures, scalable training-environment in the cloud, and model optimizations.

Responsibilities:

  • Define and push the technology stack for Atlas (Swarm training platform)
  • Build model architectures for detection and classification systems using state of the art research
  • Employ state of the art model compression techniques, hyperparameter search, and NAS to optimize for target platforms
  • Build a production-grade training system (based on Pytorch) for scalable multi GPU and distributed training in the cloud

Minimum Requirements:

  • 2+ years of professional experience as a software engineer (shipped software to production)
  • 2+ years of experience with deep learning and/or computer vision (built models for production)

Preferred Requirements:

  • Profound knowledge of Pytorch/Tensorflow (or similar), CNN backbones, detection systems, inference engines, model compression, ONNX, hyperparameter-/network architecture search
  • Experience with scalable cloud environments, Multi GPU and distributed training, and training large data sets
  • Experience with UNIX based systems, test-driven development, docker, CI/CD

Conditions:

  • Starting date in December 2020
  • Permanent full-time contract (38,5h/week)
  • Flexible working time
  • An office in the heart of the Alps (okay, that’s not our merit, but still great!)
  • An annual minimum wage starting from 55.000€ gross

 

We look forward to receiving your application directly online via the form “Apply now”.

You can find more information on our homepage and social media channels:

If you have any questions, please read the FAQ on our careers page or contact our People & Culture Manager Sarah Nobis:

Apply now and join the Swarm!

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