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Lead Engineer (m/f) - Computer Vision / Deep Learning

Tarsier Technologies, Inc.

München, Munich

IT Sonstige

Frühestmöglicher Eintrittstermin: November 2018

Anstellungsverhältnis: Vollzeit

Berufserfahrung: Mit Berufserfahrung


Tarsier develops modern airspace surveillance systems. Our systems protect facilities against the new aerial threat created by the malicious or negligent use of drones. Tarsier was founded at Stanford University in early 2017, is a member of NVIDIA’s Inception program and is backed by Alchemist Accelerator, an accelerator focused exclusively on enterprise startups and backed by leading venture capitalists and Silicon Valley firms such as DFJ, Salesforce, and Cisco. Tarsier is based in San Francisco and Munich.

Are you interested in pioneering the field of counter-drone technology together with us? For our office in Munich we are looking for a Lead Engineer (m/f) - Computer Vision / Deep Learning:

Our Vision – Your Roles & Mission

  • Work closely with the founding team to define the product and company strategy from a computer vision / deep learning perspective
  • Improve the end-to-end deep learning pipeline from data acquisition to model evaluation
  • Improve / optimize the existing detection system regarding algorithm design to improve accuracy of detection or enhance the system with additional features
  • Improve the end-to-end framework that extracts useful detection data from aerial images
  • Manage partnerships with partner companies or research institutes (e. g. Fraunhofer)
  • Identify opportunities to use machine learning to improve data quality or the types of analysis we can offer and define the thresholds of what is achievable in performance
  • Quickly prototype and iterate on new concepts, and prioritize them based on customer needs
  • Work closely with hardware development engineers to select or improve sensors, and design image capture strategies based on vision algorithm requirements

Our Expectation – Your Skills & Profession

  • Applied research background and mindset in computer vision / deep learning
  • Experience in implementing and using deep learning infrastructure / environments from data acquisition to model evaluation
  • The will of creating best-practices, technical thought leadership

Our Promise – Your Chance & Benefit

  • Receive equity ownership in a dynamic and fast-moving Silicon Valley startup
  • Solve challenging technical problems, using novel technology and techniques
  • Pioneer the field counter-drone technology, developing and implementing new approaches
  • Competitive compensation
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