Machine Learning Scientist - Natural Language Processing

Compensation

: $58,850.00 - $99,050.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



Loading some great jobs for you...





At SoundHound Inc., we believe every brand should have a voice. As the leading innovator of conversational technologies, we re trusted by top brands around the globe. Houndify, our independent Voice AI platform, with 70,000+ users, allows brands to create custom voice assistants that deliver results with unprecedented speed and accuracy.Our mission is to enable humans to interact with the things around them in the same way we interact with each other: by speaking naturally. We re making that a reality through our SoundHound music discovery app and Hound voice assistant and through our strategic partnerships with brands like Mercedes-Benz, Hyundai, Deutsche Telekom, and Pandora. Today, our customized voice AI solutions allow people to talk to phones, cars, smart speakers, mobile apps, coffee machines, and every other part of the emerging voice-first world.Our diverse team of engineers, UX/UI designers, writers, data scientists and linguists are all passionate about creating a world with more conversations. With more than 14 years of expertise in voice technology, we have hundreds of millions of end users, and a worldwide team in six countries building solutions for a voice-first world.About the Role:This is a fantastic opportunity to join the core group working on Speech Recognition at SoundHoundResearch state-of-the-art methods in Language Modeling and related Natural Language Processing problems: Text Segmentation, Language Classification etcCollaborate with Machine Learning engineers to prototype novel methods and productionize promising methodsRequirements:Good understanding of Machine Learning algorithmsProficient in one of Python or Java or C++Ability to write clean and efficient codeResearch work/publications in the area of Natural Language ProcessingPh.D in Computer Science, Computational Linguistics or related fieldsNice to Haves:Experience training Deep Neural Network Models on GPU clustersResearch work/publications in applying Deep Learning methods to Natural Language ProcessingDeep fluency with academic fields relevant to Statistical Language ModelingFamiliarity with MapReduce/Spark and other relevant infrastructure * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

Launch your career - Create your profile now!

Create your Profile

Loading some great jobs for you...