Research Scientist


Mountain View, CA, US
  • Job Type: Full-Time
  • Function: Research Sci/Assoc/Mgr
  • Post Date: 02/06/2021
  • Website:
  • Company Address: , Mountain View, CA

About WaveOne

WaveOne is building the next generation of compression of digital media. We are leveraging the latest advancements in machine learning and deep learning to create custom-tailored, context-dependent solutions.

Job Description

Compression is one of the most exciting areas of deep learning research today because it is both practically grounded and ripe for creative innovation.  On one hand, advances that lead to better compression rates translate into real dollars and cents (e.g. reduced transmission costs). On the other hand, the ability to do compression with deep learning blows the door wide open to a host of creative innovations that are prohibitively difficult to approach using traditional methods. For instance, more perceptually-relevant metrics are more readily optimized, and multimodal features can be learned (e.g. optical flow + residuals). Furthermore, neural network architectures and model efficiency optimization schemes must be adapted to compression problems.

What You’ll Do:

  • Work with the team to define your research project that pushes the state of the art in ML-based compression technologies

  • Build out the features on top of our current code infrastructure that are necessary to actualize your research vision

  • Develop prototypes that demonstrate the possibilities of ML-based compression

  • Deliver your work by creating new intellectual property, writing blogs and/or publishing papers on your work

  • Stay current with the bleeding edge of compression by reading papers, attending conferences, and working closely with the team

Who you are:

You are a disciplined and creative researcher who balances doing thorough investigations and delivering results on a timeline. You are excited about growing professionally and are looking forward to working closely with our team.


  • Ph.D. in Machine Learning, Computer Vision, Statistics or related field

  • Foundational knowledge of probability, linear algebra, signal processing, and optimization

  • Strong publication record, including one or more publications/workshop presentations in the following venues: CVPR, NIPS, ICCV, ECCV, ICML, ICLR

  • Familiarity with Python and TensorFlow

  • Ability to communicate complex ideas to others

  • Experience writing high-quality code

Preferred skills:

  • Prior experience in an early-stage startup

  • Expertise in one or more of the following areas: computer vision, video streaming, compression, deep learning

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This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.