Co-Founder: Senior Machine Learning/Computer Vision Specialist (f/m/d)

Hi there, thanks for your interest.

Let’s start with a short summary.

What we are building: a multi-modal platform for automated video production, analysis and post-production.

We are a startup supported by: AWS, FFG, NVIDIA, and Amazon Web Services.

Status quo:
Prototypes: done
Funding: 2nd round started
Modus: mainly remote
Locations: Austria and Germany, and wherever you are.

Important note: If “early-stage”, “hands-on” and “salary later” don’t put you off – and you even have a founder mindset with or without founding experience – then read on.
Because only one thing is certain with a start-up like ours at the moment: the big technical challenge and the associated risk. If that’s not a problem for you, you are very welcome to join us.

Details/Role/Skillset:

On our platform, we develop and collect the SOTA algorithms that orchestrate themselves to create and analyze videos with unprecedented simplicity and enrich with new creative possibilities.
Whether professional creators, production companies, or smartphone owners.
Already today, our first customers can save up to 75% in costs and over 80% in editing time.

Our goal for 2030: every 2nd minute of video will be produced via our platform.

Which is a beautiful but demanding challenge and has already been described as a first-time ascent. That’s why we are looking for an expert who is interested in the topics “Video, Machine Learning, Computer Vision and perhaps – also music, sports, and art.”
But also to build and lead your own team – creating together, here in beautiful Saalbach (Austria) and remotely, a pretty ambitious holarchic platform for AI-video creation.

You will work on our existing Machine Learning platform:
• Object tracking & detection & labeling in video streams
• Object re-identification across video streams
• Improve Action Detection, Highlight Detection
• Train and re-train custom models & leverage off-the-shelf models
• Use cutting-edge technologies & neural nets to improve video quality and resolution.

Skills required:
• Strong Python3 skills
• Knowledge in OpenCV2
• FFMPEG compression & Parameter-Tuning
• Knowledge in pyTorch & Object trackers (such as YOLO)
• General knowledge in CV algorithms (SORT, SRUNET, ..)
• Containers (Docker, Kubernetes)
• AWS Services (S3, Lambda, SageMaker, Elastic Transcode/MediaConvert).

Optional, but desired skills:
• Microservices
• Airflow
• boto3.

What we offer:
• A place on our cap table
• Or virtual shares
• And a new way of organization and organic growing culture.

Interested? Great.
Please get back to us: hannes@play-tracks.com

Find out more about our culture, vision, and more: here.

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