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Deep Learning Researcher

Tel Aviv – yafo

About Hi Auto

Hi Auto’s mission is to develop the best voice experience for human-machine interactions. We are making human and machine dialog more humane and natural The core of our technology is based on cutting edge audio-visual algorithms that use a video feed from a camera facing the speaker. Analyzing the speaker’s face enables us to enhance their audio and get better speech recognition results in difficult noise conditions, just as a human would better understand a speaker if they can see their faces while listening to them. The company was founded by veteran entrepreneurs Zohar Zisapel (founder of RAD and a key figure in other automotive companies such as Innoviz, Argus, Hailo), Roy Baharav (81, Google) and Eyal Shapira (Talpiot, 81, various startups). We are still a small core team and are seeking outstanding individuals who are passionate and would like to have a high impact. It’s a great opportunity if you’re looking to join an amazing team early on and build something big and meaningful.


We are looking for a Deep Learning Researcher with a huge passion for researching new and challenging technologies. It’s an amazing opportunity to be a part of our solution and make the speech recognition experience in the car and other environments more satisfying for consumers and enable the introduction of more complex and sensitive capabilities by OEMs.

As a Deep Learning Applied Researcher, you would work on our audio-visual speech enhancement and recognition algorithms. This involves exploring different audio-visual DL based algorithms from the most recent academic work. You will improve them and sometimes create new methods altogether.


  • MSc in CS/EE or equivalent from a well known university
  • PhD in Computer Science or equivalent – Advantage
  • Hands-on Deep Learning experience in Computer Vision or Speech
  • Familiarity with Deep Learning frameworks
  • Fluency in Python and Linux Environment , Fluency in C/C++ – Advantage
  • Experience with Speech or Audio Processing – Advantage
  • Experience with optimizing algorithms and models for low resource embedded environments – Advantage
  • Passion for your work and domain
  • Team player with great communication skills
  • Get things done attitude
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