Deep Learning Engineer

Swarm Analytics Published: August 5, 2020
Location
Innsbruck, Austria
Job Type

Description

Swarm Analytics develops revolutionary AI technology for transforming cameras into smart sensors. It is able to extract real-time information from video streams directly at their source with unparalleled efficiency.

Role Description:

You will be part of the engineering team. Together we build faster, smarter, and more affordable computer vision-based systems for the smart city. Among others, you will be involved in building production-grade training systems, model architectures, scalable training-environment in the cloud, and model optimizations.

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/experience with 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, experience to train large data sets

  • Experience with UNIX based systems, test-driven development, docker, CI/CD

Conditions:

  • Starting date as soon as possible

  • 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” on our website: https://www.swarm-analytics.com/jobs/deep-learning-engineer

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 (https://www.swarm-analytics.com/career) or contact our People & Culture Manager Sarah Nobis ([email protected]).

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