SoundHound Inc. builds custom voice assistants that give customers an opportunity to extend their brand in a new and meaningful way. We couldn’t be happier knowing that in doing so, our Voice AI products allow people to be themselves when going about their day by using their own voice to get what they want! 

We are looking for an experienced Machine Learning Scientist to innovate Natural Language Processing techniques used for Automatic Speech Recognition. As a scientist on the Language Modeling team, you will collaborate with other researchers, software engineers, and product managers to deliver Machine Learning models with state-of-the-art accuracy. Your work will have a direct impact on the solutions we provide to customers like Daimler and Pandora.

You will enjoy seeing your Machine Learning research lead to improved language model accuracy and the creation of language models for languages not yet in production. Our team, which is distributed across our offices in North America and Europe, is currently exploring areas such as Deep Learning-based Neural Language Models and End-to-End ASR.

In this role you will:

  • Research state-of-the-art methods in language modeling
  • Prototype and productionize novel Machine Learning models
  • Solve Natural Language Processing problems including punctuation correction, text segmentation, and diacritization
  • Mentor other team members and teach them what you have learned about best research practices

We would love to hear from you if:

  • You have at least three years of relevant industry experience
  • You have a Ph.D. in Computer Science or in a related quantitative discipline
  • You have publications or extensive research work in Natural Language Processing
  • You are adept at machine learning algorithms
  • You take pride in writing clean Python, Java or C++ code
  • You thrive in a culture that values diversity, community, and growth
  • You love to learn and share your knowledge with teammates

We’d be especially excited if you have experience training Deep Neural Network models on GPU clusters and possess deep fluency in academic fields relevant to statistical language models. Be sure to mention if your research has centered around applying Deep Learning methods to Natural Language Processing.

Right now, our Toronto-based employees are working from home. We will support remote work within Canada until we reopen the Toronto office. Employees are expected to return to the office once there is consensus from health and government officials that it is safe to do so.

Here at SoundHound, diversity, equity, and inclusion are key to who we are. With a mission to build Voice AI for the world, creating a team with global perspectives is critical to our success. SoundHound will ensure that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other benefits of employment.

We are purposeful about fostering an environment where everyone feels supported. Employees enjoy comprehensive health care, paid time off, and flexible working hours. Learn more about our philosophy, benefits, and culture at Come join our growing team and bring your unique voice to our mission!

Apply for this Job

* Required
When autocomplete results are available use up and down arrows to review
+ Add Another Education